ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Lake Bastrop Acres

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
17
single-family resale homes
Median net sale price
$302,000
average $281,324
Median net price per SF
$186
average $196
Median days on market
67 days
average 148 days
1. SummaryResale homes · 17 sales · October 26, 2025 – October 25, 2026

This study looks at the 17 resale homes sold in Lake Bastrop Acres in the 365 days to October 25, 2026. A full year is used because only 9 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 sold17 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 $220K · 4 sales$220K–$282K · 4 sales$302K–$323K · 5 salesOver $323K · 4 sales
3. Quartiles by net sale priceResale homes · 17 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.

2026-10-26T04:42:13.409271 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under $220K: 4 sales (24%) $220K–$282K: 4 sales (24%) $302K–$323K: 5 sales (29%) Over $323K: 4 sales (24%)
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

2026-10-26T04:42:13.438609 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $220K 4 sales $220K– $282K 4 sales $302K– $323K 5 sales Over $323K 4 sales $0 $100 $200 $157 $181 $243 $192 Net price per SF, average

The average is $192 per SF for homes over $323K and $157 per SF for homes under $220K. It does not move in a straight line; homes $302K–$323K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:42:13.461376 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $220K 4 sales $220K– $282K 4 sales $302K– $323K 5 sales Over $323K 4 sales 0 1,000 2,000 1,160 1,539 1,467 1,908 Living area (SF), average

The average is 1,908 SF for homes over $323K and 1,160 SF for homes under $220K. It does not move in a straight line; homes over $323K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:42:13.484946 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $220K 4 sales $220K– $282K 4 sales $302K– $323K 5 sales Over $323K 4 sales 1980 1995 2010 1993 1978 1996 1991 Year built: median (dot) and middle half (bar)

The median is 1991 for homes over $323K and 1993 for homes under $220K. It does not move in a straight line; homes $302K–$323K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:42:13.507909 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $220K 4 sales $220K– $282K 4 sales $302K– $323K 5 sales Over $323K 4 sales 0 100 200 81 76 202 47 Days on market, median

The median is 47 days for homes over $323K and 81 days for homes under $220K. It does not move in a straight line; homes $302K–$323K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:42:13.529953 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $220K 4 sales $220K– $282K 4 sales $302K– $323K 5 sales Over $323K 4 sales 0.0% 5.0% 10.0% 15.0% 16.7% 10.3% 4.6% 14.5% Discount from original list, average

The average is 14.5% for homes over $323K and 16.7% for homes under $220K. It does not move in a straight line; homes under $220K 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

2026-10-26T04:42:13.560473 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 50 50 25 100 50 40 60 40 25 75 50 Under $220K $220K–$282K $302K–$323K Over $323K

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

  • 25% of homes over $323K had a price cut before sale, against 50% of homes under $220K. Defined in 8.1.7.
  • 75% of homes over $323K had the seller pay closing costs or repairs, against 50% of homes under $220K. Defined in 8.1.8.
  • 50% of homes over $323K have a view, against 50% of homes under $220K. 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 $220K4 sales$220K–$282K4 sales$302K–$323K5 salesOver $323K4 salesAll17 sales
Net sale price average$181,100$261,222$309,700$366,180$281,324
Net price per SF average$157$181$243$192$196
Living area average1,1601,5391,4671,9081,516
Year built median19931978199619911995

3.10 The numbers: selling

Under $220K4 sales$220K–$282K4 sales$302K–$323K5 salesOver $323K4 salesAll17 sales
Days on market median81762024767
Discount from original list average16.7%10.3%4.6%14.5%11.1%
Price cut before sale50%25%40%25%35%
Seller paid closing costs or repairs50%100%60%75%71%
Has a view50%50%40%50%47%

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 · 17 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.

2026-10-26T04:42:13.581429 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Under 1,280 SF: 4 sales (24%) 1,280–1,400 SF: 4 sales (24%) 1,580–1,871 SF: 5 sales (29%) Over 1,871 SF: 4 sales (24%)
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

2026-10-26T04:42:13.602221 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,280 SF 4 sales 1,280– 1,400 SF 4 sales 1,580– 1,871 SF 5 sales Over 1,871 SF 4 sales $0K $100K $200K $300K $225K $245K $321K $325K Net sale price, average

The average is $325K for homes over 1,871 SF and $225K for homes under 1,280 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

2026-10-26T04:42:13.625889 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,280 SF 4 sales 1,280– 1,400 SF 4 sales 1,580– 1,871 SF 5 sales Over 1,871 SF 4 sales $0 $100 $200 $300 $258 $182 $183 $165 Net price per SF, average

The average is $165 per SF for homes over 1,871 SF and $258 per SF for homes under 1,280 SF. It does not move in a straight line; homes under 1,280 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:42:13.650242 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,280 SF 4 sales 1,280– 1,400 SF 4 sales 1,580– 1,871 SF 5 sales Over 1,871 SF 4 sales 1980 1995 2010 2025 1990 2022 1996 1974 Year built: median (dot) and middle half (bar)

The median is 1974 for homes over 1,871 SF and 1990 for homes under 1,280 SF. It does not move in a straight line; homes 1,280–1,400 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:42:13.673934 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,280 SF 4 sales 1,280– 1,400 SF 4 sales 1,580– 1,871 SF 5 sales Over 1,871 SF 4 sales 0 50 100 150 154 112 23 150 Days on market, median

The median is 150 days for homes over 1,871 SF and 154 days for homes under 1,280 SF. It does not move in a straight line; homes under 1,280 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:42:13.696533 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,280 SF 4 sales 1,280– 1,400 SF 4 sales 1,580– 1,871 SF 5 sales Over 1,871 SF 4 sales 0.0% 5.0% 10.0% 15.0% 12.0% 13.6% 7.4% 12.4% Discount from original list, average

The average is 12.4% for homes over 1,871 SF and 12.0% for homes under 1,280 SF. It does not move in a straight line; homes 1,280–1,400 SF are 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

2026-10-26T04:42:13.724004 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 50 50 75 50 75 25 0 60 40 50 100 50 Under 1,280 SF 1,280–1,400 SF 1,580–1,871 SF Over 1,871 SF

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

  • 50% of homes over 1,871 SF had a price cut before sale, against 50% of homes under 1,280 SF. Defined in 8.1.7.
  • 100% of homes over 1,871 SF had the seller pay closing costs or repairs, against 50% of homes under 1,280 SF. Defined in 8.1.8.
  • 50% of homes over 1,871 SF have a view, against 75% of homes under 1,280 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 1,280 SF4 sales1,280–1,400 SF4 sales1,580–1,871 SF5 salesOver 1,871 SF4 salesAll17 sales
Net sale price average$225,450$244,872$320,604$324,550$281,324
Net price per SF average$258$182$183$165$196
Living area average9381,3421,7531,9701,516
Year built median19902022199619741995

4.10 The numbers: selling

Under 1,280 SF4 sales1,280–1,400 SF4 sales1,580–1,871 SF5 salesOver 1,871 SF4 salesAll17 sales
Days on market median1541122315067
Discount from original list average12.0%13.6%7.4%12.4%11.1%
Price cut before sale50%50%0%50%35%
Seller paid closing costs or repairs50%75%60%100%71%
Has a view75%25%40%50%47%

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 · 17 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.

2026-10-26T04:42:13.744575 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 5 4 17 sales Sales per group Before 1980: 4 sales (24%) 1980–1986: 4 sales (24%) 1995–2016: 5 sales (29%) After 2016: 4 sales (24%)
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

2026-10-26T04:42:13.765043 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1980 4 sales 1980– 1986 4 sales 1995– 2016 5 sales After 2016 4 sales $0K $100K $200K $300K $305K $259K $278K $284K Net sale price, average

The average is $284K for homes built after 2016 and $305K for homes built before 1980. It does not move in a straight line; homes built before 1980 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T04:42:13.788797 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1980 4 sales 1980– 1986 4 sales 1995– 2016 5 sales After 2016 4 sales $0 $100 $200 $162 $192 $229 $194 Net price per SF, average

The average is $194 per SF for homes built after 2016 and $162 per SF for homes built before 1980. It does not move in a straight line; homes built 1995–2016 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T04:42:13.810458 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1980 4 sales 1980– 1986 4 sales 1995– 2016 5 sales After 2016 4 sales 0 1,000 2,000 1,888 1,388 1,362 1,463 Living area (SF), average

The average is 1,463 SF for homes built after 2016 and 1,888 SF for homes built before 1980. It does not move in a straight line; homes built before 1980 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T04:42:13.832175 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1980 4 sales 1980– 1986 4 sales 1995– 2016 5 sales After 2016 4 sales 0 50 100 25 120 67 112 Days on market, median

The median is 112 days for homes built after 2016 and 25 days for homes built before 1980. It does not move in a straight line; homes built 1980–1986 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T04:42:13.854896 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1980 4 sales 1980– 1986 4 sales 1995– 2016 5 sales After 2016 4 sales 0.0% 5.0% 10.0% 15.0% 5.2% 15.0% 11.2% 13.1% Discount from original list, average

The average is 13.1% for homes built after 2016 and 5.2% for homes built before 1980. It does not move in a straight line; homes built 1980–1986 are 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

2026-10-26T04:42:13.881093 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% 25 100 50 25 75 100 40 20 40 50 100 0 Before 1980 1980–1986 1995–2016 After 2016

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

  • 50% of homes built after 2016 had a price cut before sale, against 25% of homes built before 1980. Defined in 8.1.7.
  • 100% of homes built after 2016 had the seller pay closing costs or repairs, against 100% of homes built before 1980. Defined in 8.1.8.
  • 0% of homes built after 2016 have a view, against 50% of homes built before 1980. 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 19804 sales1980–19864 sales1995–20165 salesAfter 20164 salesAll17 sales
Net sale price average$305,175$258,575$278,300$284,002$281,324
Net price per SF average$162$192$229$194$196
Living area average1,8881,3881,3621,4631,516
Year built median19721983199620221995

5.10 The numbers: selling

Before 19804 sales1980–19864 sales1995–20165 salesAfter 20164 salesAll17 sales
Days on market median251206711267
Discount from original list average5.2%15.0%11.2%13.1%11.1%
Price cut before sale25%25%40%50%35%
Seller paid closing costs or repairs100%75%20%100%71%
Has a view50%100%40%0%47%

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 · 17 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.

2026-10-26T04:42:13.899723 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 9 17 sales Sales per group View: 8 sales (47%) No view: 9 sales (53%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 At a glance

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

ViewNo viewReal difference?
Net sale price$294K$270Kunclear
Net price per SF$226 per SF$170 per SFunclear
Living area1,430 SF1,592 SFunclear
Year built19832004unclear
Days on market46 days96 daysunclear
Discount from original list9.7%12.3%unclear
Price cut before sale25%44%unclear
Seller paid closing costs or repairs62%78%unclear

6.3 Net sale price: no clear difference

2026-10-26T04:42:13.915860 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 9 sales $0K $100K $200K $300K $294K $270K Net sale price, average

The average is $294K for homes with a view and $270K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-10-26T04:42:13.934320 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 9 sales $0 $100 $200 $226 $170 Net price per SF, average

The average is $226 per SF for homes with a view and $170 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-10-26T04:42:13.951764 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 9 sales 0 500 1,000 1,500 1,430 1,592 Living area (SF), average

The average is 1,430 SF for homes with a view and 1,592 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-10-26T04:42:13.999975 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 9 sales 1980 1990 2000 2010 2020 1983 2004 Year built: median (dot) and middle half (bar)

The median is 1983 for homes with a view and 2004 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-10-26T04:42:14.019677 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 9 sales 0 25 50 75 100 46 96 Days on market, median

The median is 46 days for homes with a view and 96 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

2026-10-26T04:42:14.038957 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 8 sales No view 9 sales 0.0% 5.0% 10.0% 9.7% 12.3% Discount from original list, average

The average is 9.7% for homes with a view and 12.3% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:42:14.057584 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 25 62 44 78 View No view

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

  • 25% of homes with a view had a price cut before sale, against 44% of homes without a view. Defined in 8.1.7.
  • 62% of homes with a view had the seller pay closing costs or repairs, against 78% 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

View8 salesNo view9 salesAll17 salesReal difference?
Net sale price average$293,562$270,445$281,324unclear
Net price per SF average$226$170$196unclear
Living area average1,4301,5921,516unclear
Year built median198320041995unclear

6.11 The numbers: selling

View8 salesNo view9 salesAll17 salesReal difference?
Days on market median469667unclear
Discount from original list average9.7%12.3%11.1%unclear
Price cut before sale25%44%35%unclear
Seller paid closing costs or repairs62%78%71%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 · 1 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: 1 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 Lake Bastrop Acres.
MeasureAverageMedian
Sales1
Net sale price$391,000$391,000
Net price per SF$261$261
Living area (SF)1,5001,500
Days on market429429
Discount from original list10.3%10.3%
Price cut before sale0% of sales
Seller paid closing costs or repairs100% of sales
Year built2024–2024

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
17 resale sales. Average $281,324; median $302,000; standard deviation $73,613; middle half (25th–75th percentile) $220,000–$323,000; lowest $115,000, highest $413,200. 12 sales had a seller payment; their median payment was $11,850.

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
17 resale sales. Average $196; median $186; standard deviation $78; middle half (25th–75th percentile) $162–$216; lowest $108, highest $465.

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
17 resale sales. Average 1,516; median 1,580; standard deviation 414; middle half (25th–75th percentile) 1,280–1,871; lowest 672, highest 2,049.

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
17 resale sales. Average 1995; median 1995; standard deviation 20; middle half (25th–75th percentile) 1980–2016; lowest 1967, 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
17 resale sales. Average 148; median 67; standard deviation 205; middle half (25th–75th percentile) 23–173; lowest 8, highest 821. 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
17 resale sales. Average 11.1%; median 5.8%; standard deviation 10.2%; middle half (25th–75th percentile) 5.0%–14.1%; lowest 1.6%, highest 34.5%. 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
6 of 17 resale sales (35.3%).

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
12 of 17 resale sales (70.6%).

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
8 sales with a view, 9 without, 0 unclassified. Most common View entries: Trees/Woods 8, None 7, Neighborhood 4, Creek/Stream 2, Rural 2.

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 “lake bastrop acres” (case-insensitive). A record is kept when its subdivision name belongs to the Lake Bastrop Acres family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 20 closed Lake Bastrop Acres records over the prior year, in ZIP 78602. 2 subdivision spellings kept: Lake Bastrop Acres (19); Lake Bastrop Acres Sec 4 (1). Names found by the search but not part of Lake Bastrop Acres, left out: Lake Bastrop Club and Lake Bastrop Acres (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 9 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
18 single-family sales in the window: 17 resale, 1 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
17 resale; 1 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
2 sale(s) other than single-family homes (condo, townhome and similar)

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 $220K”.
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 $220K: $115,000–$212,400 (4 sales); $220K–$282K: $220,000–$282,500 (4 sales); $302K–$323K: $302,000–$323,000 (5 sales); Over $323K: $335,000–$413,200 (4 sales)
Quartiles by living area: Under 1,280 SF: 672–1,108 SF (4 sales); 1,280–1,400 SF: 1,280–1,400 SF (4 sales); 1,580–1,871 SF: 1,580–1,871 SF (5 sales); Over 1,871 SF: 1,886–2,049 SF (4 sales)
Quartiles by year built: Before 1980: 1967–1977 (4 sales); 1980–1986: 1980–1986 (4 sales); 1995–2016: 1995–2016 (5 sales); After 2016: 2019–2026 (4 sales)
View and no view: View: MLS lists a view (8 sales); No view: None or Neighborhood (9 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 $281,324, median $302,000. Days on market: average 148, median 67: 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
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
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 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 41.00—0.6730p < 0.0063Unclearrank-biserial r = 0.139small
Net price per SFMann–Whitney UU = 49.00—0.2359p < 0.0063Unclearrank-biserial r = 0.361medium
Living areaMann–Whitney UU = 30.00—0.5964p < 0.0063Unclearrank-biserial r = 0.167small
Year builtMann–Whitney UU = 17.00—0.0749p < 0.0063Unclearrank-biserial r = 0.528large
Days on marketMann–Whitney UU = 34.00—0.8884p < 0.0063Unclearrank-biserial r = 0.056negligible
Discount from original listMann–Whitney UU = 30.00—0.6058p < 0.0063Unclearrank-biserial r = 0.167small
Price cut before saleChi-squareχ² = 0.7010.4024p < 0.0063UnclearCramér’s V = 0.203small
Seller paid closing costs or repairsChi-squareχ² = 0.4810.4902p < 0.0063UnclearCramér’s V = 0.167small

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); 2 sale(s) other than single-family homes (condo, townhome and similar). 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 17 closed MLS resale sales; the 1 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.