ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Highlands At Crystal Falls Sec 02 Ph 02

Leander, TX 78641
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 · 7:06 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
$564,840
average $584,913
Median net price per SF
$189
average $191
Median days on market
91 days
average 112 days
1. SummaryResale homes · 14 sales · October 26, 2025 – October 25, 2026

This study looks at the 14 resale homes sold in Highlands At Crystal Falls Sec 02 Ph 02 in the 365 days to October 25, 2026. A full year is used because only 7 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 $525K · 4 sales$525K–$549K · 3 sales$581K–$606K · 3 salesOver $606K · 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.

2026-10-26T07:06:53.870488 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under $525K: 4 sales (29%) $525K–$549K: 3 sales (21%) $581K–$606K: 3 sales (21%) Over $606K: 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

2026-10-26T07:06:53.898143 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $525K 4 sales $525K– $549K 3 sales $581K– $606K 3 sales Over $606K 4 sales $0 $100 $200 $184 $189 $191 $200 Net price per SF, average

The average is $200 per SF for homes over $606K and $184 per SF for homes under $525K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T07:06:53.919728 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $525K 4 sales $525K– $549K 3 sales $581K– $606K 3 sales Over $606K 4 sales 0 2,000 4,000 2,351 2,841 3,120 3,846 Living area (SF), average

The average is 3,846 SF for homes over $606K and 2,351 SF for homes under $525K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T07:06:53.942907 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $525K 4 sales $525K– $549K 3 sales $581K– $606K 3 sales Over $606K 4 sales 2008 2010 2012 2014 2010 2010 2010 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over $606K and 2010 for homes under $525K. It does not move in a straight line; homes over $606K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T07:06:53.965315 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $525K 4 sales $525K– $549K 3 sales $581K– $606K 3 sales Over $606K 4 sales 0 50 100 150 127 88 94 104 Days on market, median

The median is 104 days for homes over $606K and 127 days for homes under $525K. It does not move in a straight line; homes under $525K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T07:06:53.987292 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $525K 4 sales $525K– $549K 3 sales $581K– $606K 3 sales Over $606K 4 sales 0.0% 5.0% 10.0% 12.2% 9.9% 6.6% 4.8% Discount from original list, average

The average is 4.8% for homes over $606K and 12.2% for homes under $525K. It falls step by step from the lowest range to the 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

2026-10-26T07:06:54.016695 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 25 67 67 0 33 67 0 25 100 0 Under $525K $525K–$549K $581K–$606K Over $606K

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

  • 25% of homes over $606K had a price cut before sale, against 75% of homes under $525K. Defined in 8.1.7.
  • 100% of homes over $606K had the seller pay closing costs or repairs, against 50% of homes under $525K. Defined in 8.1.8.
  • 0% of homes over $606K have a view, against 25% of homes under $525K. 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 $525K4 sales$525K–$549K3 sales$581K–$606K3 salesOver $606K4 salesAll14 sales
Net sale price average$430,050$537,893$596,867$766,075$584,913
Net price per SF average$184$189$191$200$191
Living area average2,3512,8413,1203,8463,048
Year built median20102010201020122010

3.10 The numbers: selling

Under $525K4 sales$525K–$549K3 sales$581K–$606K3 salesOver $606K4 salesAll14 sales
Days on market median127889410491
Discount from original list average12.2%9.9%6.6%4.8%8.4%
Price cut before sale75%67%33%25%50%
Seller paid closing costs or repairs50%67%67%100%71%
Has a view25%0%0%0%7%

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.

2026-10-26T07:06:54.037071 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Under 2,873 SF: 4 sales (29%) 2,873–2,895 SF: 3 sales (21%) 3,072–3,216 SF: 3 sales (21%) Over 3,216 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

2026-10-26T07:06:54.057530 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,873 SF 4 sales 2,873– 2,895 SF 3 sales 3,072– 3,216 SF 3 sales Over 3,216 SF 4 sales $0K $250K $500K $750K $439K $526K $597K $766K Net sale price, average

The average is $766K for homes over 3,216 SF and $439K for homes under 2,873 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

2026-10-26T07:06:54.079939 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,873 SF 4 sales 2,873– 2,895 SF 3 sales 3,072– 3,216 SF 3 sales Over 3,216 SF 4 sales $0 $100 $200 $190 $182 $191 $200 Net price per SF, average

The average is $200 per SF for homes over 3,216 SF and $190 per SF for homes under 2,873 SF. It does not move in a straight line; homes over 3,216 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T07:06:54.103152 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,873 SF 4 sales 2,873– 2,895 SF 3 sales 3,072– 3,216 SF 3 sales Over 3,216 SF 4 sales 2008 2011 2014 2017 2016 2008 2010 2012 Year built: median (dot) and middle half (bar)

The median is 2012 for homes over 3,216 SF and 2016 for homes under 2,873 SF. It does not move in a straight line; homes under 2,873 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T07:06:54.125428 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,873 SF 4 sales 2,873– 2,895 SF 3 sales 3,072– 3,216 SF 3 sales Over 3,216 SF 4 sales 0 50 100 82 95 94 104 Days on market, median

The median is 104 days for homes over 3,216 SF and 82 days for homes under 2,873 SF. It does not move in a straight line; homes over 3,216 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T07:06:54.146627 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,873 SF 4 sales 2,873– 2,895 SF 3 sales 3,072– 3,216 SF 3 sales Over 3,216 SF 4 sales 0.0% 5.0% 10.0% 15.0% 13.6% 8.0% 6.6% 4.8% Discount from original list, average

The average is 4.8% for homes over 3,216 SF and 13.6% for homes under 2,873 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

2026-10-26T07:06:54.172592 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 0 67 33 33 33 67 0 25 100 0 Under 2,873 SF 2,873–2,895 SF 3,072–3,216 SF Over 3,216 SF

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

  • 25% of homes over 3,216 SF had a price cut before sale, against 75% of homes under 2,873 SF. Defined in 8.1.7.
  • 100% of homes over 3,216 SF had the seller pay closing costs or repairs, against 75% of homes under 2,873 SF. Defined in 8.1.8.
  • 0% of homes over 3,216 SF have a view, against 0% of homes under 2,873 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 2,873 SF4 sales2,873–2,895 SF3 sales3,072–3,216 SF3 salesOver 3,216 SF4 salesAll14 sales
Net sale price average$438,800$526,227$596,867$766,075$584,913
Net price per SF average$190$182$191$200$191
Living area average2,3182,8853,1203,8463,048
Year built median20162008201020122010

4.10 The numbers: selling

Under 2,873 SF4 sales2,873–2,895 SF3 sales3,072–3,216 SF3 salesOver 3,216 SF4 salesAll14 sales
Days on market median82959410491
Discount from original list average13.6%8.0%6.6%4.8%8.4%
Price cut before sale75%67%33%25%50%
Seller paid closing costs or repairs75%33%67%100%71%
Has a view0%33%0%0%7%

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 · 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.

2026-10-26T07:06:54.192072 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 3 4 14 sales Sales per group Before 2010: 4 sales (29%) 2010: 3 sales (21%) 2011–2012: 3 sales (21%) After 2012: 4 sales (29%)
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

2026-10-26T07:06:54.211821 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010 3 sales 2011– 2012 3 sales After 2012 4 sales $0K $250K $500K $750K $557K $571K $701K $536K Net sale price, average

The average is $536K for homes built after 2012 and $557K for homes built before 2010. It does not move in a straight line; homes built 2011–2012 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T07:06:54.233484 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010 3 sales 2011– 2012 3 sales After 2012 4 sales $0 $100 $200 $181 $186 $190 $206 Net price per SF, average

The average is $206 per SF for homes built after 2012 and $181 per SF for homes built before 2010. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T07:06:54.253910 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010 3 sales 2011– 2012 3 sales After 2012 4 sales 0 2,000 4,000 3,074 3,061 3,687 2,532 Living area (SF), average

The average is 2,532 SF for homes built after 2012 and 3,074 SF for homes built before 2010. It does not move in a straight line; homes built 2011–2012 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T07:06:54.274450 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010 3 sales 2011– 2012 3 sales After 2012 4 sales 0 50 100 124 95 88 82 Days on market, median

The median is 82 days for homes built after 2012 and 124 days for homes built before 2010. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T07:06:54.295643 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2010 4 sales 2010 3 sales 2011– 2012 3 sales After 2012 4 sales 0.0% 5.0% 10.0% 15.0% 4.5% 6.7% 8.9% 13.2% Discount from original list, average

The average is 13.2% for homes built after 2012 and 4.5% 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

2026-10-26T07:06:54.320012 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 75 25 33 67 0 67 67 0 75 75 0 Before 2010 2010 2011–2012 After 2012

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

  • 75% of homes built after 2012 had a price cut before sale, against 25% of homes built before 2010. Defined in 8.1.7.
  • 75% 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.
  • 0% of homes built after 2012 have a view, against 25% 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 sales20103 sales2011–20123 salesAfter 20124 salesAll14 sales
Net sale price average$556,595$570,667$701,467$536,500$584,913
Net price per SF average$181$186$190$206$191
Living area average3,0743,0613,6872,5323,048
Year built median20072010201120192010

5.10 The numbers: selling

Before 20104 sales20103 sales2011–20123 salesAfter 20124 salesAll14 sales
Days on market median12495888291
Discount from original list average4.5%6.7%8.9%13.2%8.4%
Price cut before sale25%33%67%75%50%
Seller paid closing costs or repairs75%67%67%75%71%
Has a view25%0%0%0%7%

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.

2026-10-26T07:06:54.337903 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 13 14 sales Sales per group View: 1 sales (7%) No view: 13 sales (93%)
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

2026-10-26T07:06:54.353159 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales $0K $200K $400K $600K $505K $591K Net sale price, average

The average is $505K for homes with a view and $591K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T07:06:54.371229 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales $0 $50 $100 $150 $200 $175 $193 Net price per SF, average

The average is $175 per SF for homes with a view and $193 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T07:06:54.390084 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0 1,000 2,000 3,000 2,886 3,060 Living area (SF), average

The average is 2,886 SF for homes with a view and 3,060 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T07:06:54.430335 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 2008 2010 2012 2014 2007 2011 Year built: median (dot) and middle half (bar)

The median is 2007 for homes with a view and 2011 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T07:06:54.448583 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0 50 100 150 200 178 88 Days on market, median

The median is 178 days for homes with a view and 88 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

2026-10-26T07:06:54.467939 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 13 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.8% 8.3% Discount from original list, average

The average is 9.8% for homes with a view and 8.3% 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

2026-10-26T07:06:54.486439 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 46 77 View No view

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

  • 100% of homes with a view had a price cut before sale, against 46% of homes without a view. Defined in 8.1.7.
  • 0% of homes with a view had the seller pay closing costs or repairs, against 77% 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

View1 salesNo view13 salesAll14 sales
Net sale price average$505,000$591,060$584,913
Net price per SF average$175$193$191
Living area average2,8863,0603,048
Year built median200720112010

6.11 The numbers: selling

View1 salesNo view13 salesAll14 sales
Days on market median1788891
Discount from original list average9.8%8.3%8.4%
Price cut before sale100%46%50%
Seller paid closing costs or repairs0%77%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 · 0 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: 0 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 Highlands At Crystal Falls Sec 02 Ph 02.

No new-construction sales were reported in ABOR MLS in this window.

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 $584,913; median $564,840; standard deviation $155,970; middle half (25th–75th percentile) $510,000–$618,900; lowest $349,000, highest $895,000. 10 sales had a seller payment; their median payment was $9,332.

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 $191; median $189; standard deviation $17; middle half (25th–75th percentile) $181–$196; lowest $175, highest $245.

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 3,048; median 2,984; standard deviation 702; middle half (25th–75th percentile) 2,818–3,360; lowest 1,793, highest 4,580.

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 2012; median 2010; standard deviation 5; middle half (25th–75th percentile) 2008–2014; lowest 2007, 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 112; median 91; standard deviation 70; middle half (25th–75th percentile) 74–173; lowest 18, highest 252. 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 8.4%; median 7.3%; standard deviation 6.4%; middle half (25th–75th percentile) 3.0%–13.5%; lowest 0.2%, highest 21.3%. 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
1 sales with a view, 13 without, 0 unclassified. Most common View entries: None 10, Neighborhood 3, Park/Greenbelt 1, Pond 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 = Leander, SubdivisionName contains any of “highlands at crystal falls”, “crystal falls” (case-insensitive). A record is kept when its subdivision name belongs to the Highlands At Crystal Falls Sec 02 Ph 02 family, the same rule comparable sales use (it includes Crystal Falls, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 15 closed Highlands At Crystal Falls Sec 02 Ph 02 records over the prior year, in ZIP 78641. 9 subdivision spellings kept: Crystal Falls (5); Highlands At Crystal Falls Sec 01 Ph 01 (2); Highlands At Crystal Falls Sec 02 Ph 01 (2); Highlands At Crystal Falls Sec 01 Ph 2A (1); Highlands at Crystal Falls (1); Highlands at Crystal Falls Sec 02 (1); Highlands At Crystal Falls Sec 01 Ph 03 (1); Highlands At Crystal Falls (1); Highlands At Crystal Falls Sec 02 Ph 02 (1). Names found by the search but not part of Highlands At Crystal Falls Sec 02 Ph 02, left out: Grand Mesa At Crystal Falls (11); Grand Mesa At Crystal Falls Ii (10); Fairways At Crystal Falls Sec (8); Bluffs At Crystal Falls Sec 2 (8); Bluffs At Crystal Falls Sec 3 (7); Fairways At Crystal Falls (5); Bluffs at Crystal Falls (5); Woods At Crystal Falls Sec 01 (4); Bluffs/Crystal Falls Sec 3 Ph (4); Grand Mesa At Crystal Falls II (3); Fairways at Crystal Falls (3); Bluffs At Crystal Falls Sec 1 (3); Fairways Ph 1 Crystal Falls (3); Townhomes at Crystal Falls (2); Highlands/Crystal Falls Sec 1 (2); Cottages At Crystal Falls Condo (2); Bluffs/Crystal Falls Ph 3D Sec (2); Fairways At Crystal Falls Sc3 P (2); Bluffs/Crystal Falls Ph 31 Sec (2); Boulders At Crystal Falls Ph 04 (1); Highlands Crystal Falls Sec I (1); Boulders At Crystal Falls Ph 05 (1); BLUFFS AT CRYSTAL FALLS (1); Highalands/Crystal Falls Sec 00 (1); THE BLUFFS AT CRYSTAL FALLS (1); Travisso Sec 1 Ph 2 / Grand Mesa Crystal Falls (1); Fairways/Crystal Falls Sec 3 P (1); GRAND MESA AT CRYSTAL FALLS (1); Bluffs/Crystal Falls Ph 3C Sec (1); Grand Mesa at Crystal Falls (1); Boulders At Crystal Falls Ph 03 (1); Grand Mesa 04 At Crystal Falls (1); Fairways/Crystal Falls Ph 2A S (1); Bluffs/Crystal Falls Sec 3 (1); Highlands at Crystal Falls/ Crystal Falls (1); Bluffs/Crystal Falls Sec Ph 01 (1); Bluffs/Crystal Falls Ph 3n Sec (1); Fairways at Crystal Falls Sec (1); Bluffs/Crystal Falls Ph 1B Sec (1); Wild Rock, Crystal Falls (1); Grand Mesa/Crystal Falls (1); Townhomes at Crystal Falls Condo Bldg 1 (1); Boulders At Crystal Falls Ph 01 (1); Grand Mesa 02 At Crystal Falls (1); Crystal Falls Grand Mesa (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 7 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
14 single-family sales in the window: 14 resale, 0 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; 0 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 no original list 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 $525K”.
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 $525K: $349,000–$505,000 (4 sales); $525K–$549K: $525,000–$548,680 (3 sales); $581K–$606K: $581,000–$606,000 (3 sales); Over $606K: $623,200–$895,000 (4 sales)
Quartiles by living area: Under 2,873 SF: 1,793–2,799 SF (4 sales); 2,873–2,895 SF: 2,873–2,895 SF (3 sales); 3,072–3,216 SF: 3,072–3,216 SF (3 sales); Over 3,216 SF: 3,408–4,580 SF (4 sales)
Quartiles by year built: Before 2010: 2007–2008 (4 sales); 2010: 2010–2010 (3 sales); 2011–2012: 2011–2012 (3 sales); After 2012: 2014–2020 (4 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (13 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 $584,913, median $564,840. Days on market: average 112, median 91: 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 Quartiles 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: 0 new-construction sales (basic statistics only, section 7); 1 sale(s) with no original list 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 14 closed MLS resale sales; the 0 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.