ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Circle D

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 · 4:42 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
14
single-family resale homes
Median net sale price
$457,500
average $454,511
Median net price per SF
$229
average $232
Median days on market
130 days
average 177 days
1. SummaryResale homes · 14 sales · October 26, 2025 – October 25, 2026

This study looks at the 14 resale homes sold in Circle D in the 365 days to October 25, 2026. A full year is used because only 8 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 sold14 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 $356K · 4 sales$356K–$455K · 3 sales$460K–$538K · 3 salesOver $538K · 4 sales
3. Quartiles by net sale priceResale homes · 14 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.

2026-10-26T04:43:14.135749 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $356K: 4 sales (29%) $356K–$455K: 3 sales (21%) $460K–$538K: 3 sales (21%) Over $538K: 4 sales (29%)
Bottom line: too few sales to test.

3.1 Key differences

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

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: described, not tested

2026-10-26T04:43:14.163858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 4 sales $356K– $455K 3 sales $460K– $538K 3 sales Over $538K 4 sales $0 $100 $200 $300 $175 $249 $220 $285 Net price per SF, average

The average is $285 per SF for homes over $538K and $175 per SF for homes under $356K. It does not move in a straight line; homes over $538K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:43:14.186722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 4 sales $356K– $455K 3 sales $460K– $538K 3 sales Over $538K 4 sales 0 1,000 2,000 1,742 1,611 2,274 2,235 Living area (SF), average

The average is 2,235 SF for homes over $538K and 1,742 SF for homes under $356K. It does not move in a straight line; homes $460K–$538K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:43:14.210769 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 4 sales $356K– $455K 3 sales $460K– $538K 3 sales Over $538K 4 sales 2004 2008 2012 2016 2006 2011 2014 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over $538K and 2006 for homes under $356K. It does not move in a straight line; homes $460K–$538K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:43:14.233330 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 4 sales $356K– $455K 3 sales $460K– $538K 3 sales Over $538K 4 sales 0 100 200 174 89 162 162 Days on market, median

The median is 162 days for homes over $538K and 174 days for homes under $356K. It does not move in a straight line; homes under $356K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:43:14.254750 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $356K 4 sales $356K– $455K 3 sales $460K– $538K 3 sales Over $538K 4 sales 0.0% 5.0% 10.0% 15.0% 11.4% 13.8% 12.8% 5.1% Discount from original list, average

The average is 5.1% for homes over $538K and 11.4% for homes under $356K. It does not move in a straight line; homes $356K–$455K are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:43:14.284446 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 75 50 67 67 100 67 100 100 0 50 100 Under $356K $356K–$455K $460K–$538K Over $538K

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

  • 0% of homes over $538K had a price cut before sale, against 75% of homes under $356K. Defined in 8.1.7.
  • 50% of homes over $538K had the seller pay closing costs or repairs, against 75% of homes under $356K. Defined in 8.1.8.
  • 100% of homes over $538K have a view, against 50% of homes under $356K. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

3.9 The numbers: price and size

Under $356K4 sales$356K–$455K3 sales$460K–$538K3 salesOver $538K4 salesAll14 sales
Net sale price average$292,125$396,833$487,833$635,162$454,511
Net price per SF average$175$249$220$285$232
Living area average1,7421,6112,2742,2351,969
Year built median20062011201420122012

3.10 The numbers: selling

Under $356K4 sales$356K–$455K3 sales$460K–$538K3 salesOver $538K4 salesAll14 sales
Days on market median17489162162130
Discount from original list average11.4%13.8%12.8%5.1%10.4%
Price cut before sale75%67%67%0%50%
Seller paid closing costs or repairs75%67%100%50%71%
Has a view50%100%100%100%86%

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 · 14 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.

2026-10-26T04:43:14.304725 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 1,631 SF: 4 sales (29%) 1,631–1,830 SF: 3 sales (21%) 1,856–2,034 SF: 3 sales (21%) Over 2,034 SF: 4 sales (29%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-10-26T04:43:14.324832 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,631 SF 4 sales 1,631– 1,830 SF 3 sales 1,856– 2,034 SF 3 sales Over 2,034 SF 4 sales $0K $200K $400K $600K $336K $409K $496K $576K Net sale price, average

The average is $576K for homes over 2,034 SF and $336K for homes under 1,631 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:43:14.347483 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,631 SF 4 sales 1,631– 1,830 SF 3 sales 1,856– 2,034 SF 3 sales Over 2,034 SF 4 sales $0 $100 $200 $300 $230 $231 $256 $216 Net price per SF, average

The average is $216 per SF for homes over 2,034 SF and $230 per SF for homes under 1,631 SF. It does not move in a straight line; homes 1,856–2,034 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:43:14.371017 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,631 SF 4 sales 1,631– 1,830 SF 3 sales 1,856– 2,034 SF 3 sales Over 2,034 SF 4 sales 2000 2005 2010 2015 2011 2012 2012 2008 Year built: median (dot) and middle half (bar)

The median is 2008 for homes over 2,034 SF and 2011 for homes under 1,631 SF. It does not move in a straight line; homes 1,631–1,830 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:43:14.394047 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,631 SF 4 sales 1,631– 1,830 SF 3 sales 1,856– 2,034 SF 3 sales Over 2,034 SF 4 sales 0 100 200 94 249 162 200 Days on market, median

The median is 200 days for homes over 2,034 SF and 94 days for homes under 1,631 SF. It does not move in a straight line; homes 1,631–1,830 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:43:14.415601 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,631 SF 4 sales 1,631– 1,830 SF 3 sales 1,856– 2,034 SF 3 sales Over 2,034 SF 4 sales 0.0% 5.0% 10.0% 15.0% 13.7% 12.0% 8.2% 7.6% Discount from original list, average

The average is 7.6% for homes over 2,034 SF and 13.7% for homes under 1,631 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:43:14.441948 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 75 33 100 100 33 100 100 50 50 75 Under 1,631 SF 1,631–1,830 SF 1,856–2,034 SF Over 2,034 SF

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

  • 50% of homes over 2,034 SF had a price cut before sale, against 75% of homes under 1,631 SF. Defined in 8.1.7.
  • 50% of homes over 2,034 SF had the seller pay closing costs or repairs, against 50% of homes under 1,631 SF. Defined in 8.1.8.
  • 75% of homes over 2,034 SF have a view, against 75% of homes under 1,631 SF. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

4.9 The numbers: price and size

Under 1,631 SF4 sales1,631–1,830 SF3 sales1,856–2,034 SF3 salesOver 2,034 SF4 salesAll14 sales
Net sale price average$336,375$409,008$495,542$576,000$454,511
Net price per SF average$230$231$256$216$232
Living area average1,4541,7541,9422,6641,969
Year built median20112012201220082012

4.10 The numbers: selling

Under 1,631 SF4 sales1,631–1,830 SF3 sales1,856–2,034 SF3 salesOver 2,034 SF4 salesAll14 sales
Days on market median94249162200130
Discount from original list average13.7%12.0%8.2%7.6%10.4%
Price cut before sale75%33%33%50%50%
Seller paid closing costs or repairs50%100%100%50%71%
Has a view75%100%100%75%86%

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. Groups by year builtResale homes · 14 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. Only 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T04:43:14.460614 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 14 sales Sales per group Before 2010: 4 sales (29%) 2010–2012: 5 sales (36%) After 2012: 5 sales (36%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-10-26T04:43:14.478736 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010– 2012 5 sales After 2012 5 sales $0K $200K $400K $600K $410K $443K $501K Net sale price, average

The average is $501K for homes built after 2012 and $410K for homes built before 2010. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:43:14.499114 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010– 2012 5 sales After 2012 5 sales $0 $100 $200 $300 $209 $259 $223 Net price per SF, average

The average is $223 per SF for homes built after 2012 and $209 per SF for homes built before 2010. It does not move in a straight line; homes built 2010–2012 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:43:14.518702 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010– 2012 5 sales After 2012 5 sales 0 1,000 2,000 1,997 1,698 2,216 Living area (SF), average

The average is 2,216 SF for homes built after 2012 and 1,997 SF for homes built before 2010. It does not move in a straight line; homes built after 2012 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:43:14.537859 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010– 2012 5 sales After 2012 5 sales 0 100 200 91 241 162 Days on market, median

The median is 162 days for homes built after 2012 and 91 days for homes built before 2010. It does not move in a straight line; homes built 2010–2012 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:43:14.557701 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010– 2012 5 sales After 2012 5 sales 0.0% 5.0% 10.0% 15.0% 5.0% 12.4% 12.8% Discount from original list, average

The average is 12.8% for homes built after 2012 and 5.0% for homes built before 2010. It rises step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:43:14.580243 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 75 50 20 60 100 80 80 100 Before 2010 2010–2012 After 2012

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

  • 80% of homes built after 2012 had a price cut before sale, against 50% of homes built before 2010. Defined in 8.1.7.
  • 80% of homes built after 2012 had the seller pay closing costs or repairs, against 75% of homes built before 2010. Defined in 8.1.8.
  • 100% of homes built after 2012 have a view, against 50% of homes built before 2010. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 20104 sales2010–20125 salesAfter 20125 salesAll14 sales
Net sale price average$410,375$442,930$501,400$454,511
Net price per SF average$209$259$223$232
Living area average1,9971,6982,2161,969
Year built median1998201120162012

5.10 The numbers: selling

Before 20104 sales2010–20125 salesAfter 20125 salesAll14 sales
Days on market median91241162130
Discount from original list average5.0%12.4%12.8%10.4%
Price cut before sale50%20%80%50%
Seller paid closing costs or repairs75%60%80%71%
Has a view50%100%100%86%

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 · 14 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.

2026-10-26T04:43:14.597394 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 2 14 sales Sales per group View: 12 sales (86%) No view: 2 sales (14%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T04:43:14.613968 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 2 sales $0K $200K $400K $480K $300K Net sale price, average

The average is $480K for homes with a view and $300K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:43:14.631128 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 2 sales $0 $100 $200 $243 $164 Net price per SF, average

The average is $243 per SF for homes with a view and $164 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:43:14.648986 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 2 sales 0 500 1,000 1,500 2,000 1,972 1,948 Living area (SF), average

The average is 1,972 SF for homes with a view and 1,948 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:43:14.713089 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 2 sales 2000 2004 2008 2012 2012 2000 Year built: median (dot) and middle half (bar)

The median is 2012 for homes with a view and 2000 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:43:14.730985 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 2 sales 0 100 200 300 126 284 Days on market, median

The median is 126 days for homes with a view and 284 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T04:43:14.748615 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 2 sales 0.0% 5.0% 10.0% 11.1% 6.3% Discount from original list, average

The average is 11.1% for homes with a view and 6.3% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:43:14.767377 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 42 67 100 100 View No view

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

  • 42% of homes with a view had a price cut before sale, against 100% of homes without a view. Defined in 8.1.7.
  • 67% of homes with a view had the seller pay closing costs or repairs, against 100% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View12 salesNo view2 salesAll14 sales
Net sale price average$480,221$300,250$454,511
Net price per SF average$243$164$232
Living area average1,9721,9481,969
Year built median201220002012

6.11 The numbers: selling

View12 salesNo view2 salesAll14 sales
Days on market median126284130
Discount from original list average11.1%6.3%10.4%
Price cut before sale42%100%50%
Seller paid closing costs or repairs67%100%71%

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 · 3 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: 3 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 Circle D.
MeasureAverageMedian
Sales3
Net sale price$862,753$774,000
Net price per SF$241$266
Living area (SF)3,5553,408
Days on market195215
Discount from original list7.3%7.8%
Price cut before sale33% of sales
Seller paid closing costs or repairs67% of sales
Year built2025–2026

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
14 resale sales. Average $454,511; median $457,500; standard deviation $157,779; middle half (25th–75th percentile) $340,500–$546,144; lowest $265,000, highest $850,000. 10 sales had a seller payment; their median payment was $10,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
14 resale sales. Average $232; median $229; standard deviation $53; middle half (25th–75th percentile) $190–$282; lowest $131, highest $307.

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
14 resale sales. Average 1,969; median 1,843; standard deviation 522; middle half (25th–75th percentile) 1,569–2,186; lowest 1,343, highest 2,938.

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
14 resale sales. Average 2009; median 2012; standard deviation 8; middle half (25th–75th percentile) 2004–2014; lowest 1996, highest 2020.

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
14 resale sales. Average 177; median 130; standard deviation 149; middle half (25th–75th percentile) 84–284; lowest 2, highest 471. 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
14 resale sales. Average 10.4%; median 8.1%; standard deviation 8.8%; middle half (25th–75th percentile) 4.4%–10.7%; lowest 0.0%, highest 30.0%. 0 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
7 of 14 resale sales (50.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
10 of 14 resale sales (71.4%).

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
12 sales with a view, 2 without, 0 unclassified. Most common View entries: Trees/Woods 12, Neighborhood 4, Rural 2, None 2, Garden 1, Creek/Stream 1, Pasture 1, Park/Greenbelt 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 “circle d” (case-insensitive). A record is kept when its subdivision name belongs to the Circle D family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 17 closed Circle D records over the prior year, in ZIP 78602. 2 subdivision spellings kept: Circle D (16); CIRCLE D SEC 4 (1). No other names were found by the search.

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 8 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
17 single-family sales in the window: 14 resale, 3 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
14 resale; 3 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 $356K”.
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 $356K: $265,000–$335,500 (4 sales); $356K–$455K: $355,500–$455,000 (3 sales); $460K–$538K: $460,000–$537,500 (3 sales); Over $538K: $549,025–$850,000 (4 sales)
Quartiles by living area: Under 1,631 SF: 1,343–1,548 SF (4 sales); 1,631–1,830 SF: 1,631–1,830 SF (3 sales); 1,856–2,034 SF: 1,856–2,034 SF (3 sales); Over 2,034 SF: 2,236–2,938 SF (4 sales)
Groups by year built: Before 2010: 1996–2002 (4 sales); 2010–2012: 2010–2012 (5 sales); After 2012: 2014–2020 (5 sales)
View and no view: View: MLS lists a view (12 sales); No view: None or Neighborhood (2 sales)

8.2.6 Average and median

In simple terms
The average adds the values and divides by how many; one very expensive home can pull it up. The median is the middle value, with half above and half below.
Statistically
Mean x̄ = (1/n) Σ xᵢ; median = 50th percentile. Price, price per SF, living area and discount use the mean; days on market and year built use the median (skewed or whole-year values).
The data
Net sale price: average $454,511, median $457,500. Days on market: average 177, median 130: 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

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
0 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

Too few sales in a group to test.

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

Too few sales in a group to test.

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 3 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 14 closed MLS resale sales; the 3 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.