ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cambridge Heights

Round Rock, TX 78664
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 · 5:46 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
21
single-family resale homes
Median net sale price
$314,280
average $321,740
Median net price per SF
$196
average $196
Median days on market
22 days
average 43 days
1. SummaryResale homes · 21 sales · October 26, 2025 – October 25, 2026

This study looks at the 21 resale homes sold in Cambridge Heights in the 365 days to October 25, 2026. A full year is used because only 10 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 sold21 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 $285K · 5 sales$285K–$311K · 5 sales$314K–$344K · 6 salesOver $344K · 5 sales
3. Quartiles by net sale priceResale homes · 21 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.

2026-10-26T05:47:01.023211 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 5 21 sales Sales per group Under $285K: 5 sales (24%) $285K–$311K: 5 sales (24%) $314K–$344K: 6 sales (29%) Over $344K: 5 sales (24%)
Bottom line

3.1 Key differences

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

Under $285K$285K–$311K$314K–$344KOver $344K
Higher-priced homes Over $344K
  • Are much larger.
Lower-priced homes Under $285K
  • Are much smaller.

3.2 At a glance

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

Under $285K$285K–$311K$314K–$344KOver $344KReal difference?
Net price per SF$197 per SF$208 per SF$191 per SF$190 per SFunclear
Living area1,372 SFSmallest1,437 SF1,714 SF2,076 SFLargest✓ large
Year built2001200120012003unclear
Days on market66 days22 days17 days17 daysunclear
Discount from original list6.4%3.5%2.8%2.7%unclear
Price cut before sale20%40%33%20%unclear
Seller paid closing costs or repairs60%60%83%100%unclear
Has a view0%20%17%0%unclear

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: no clear difference

2026-10-26T05:47:01.052224 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 5 sales $285K– $311K 5 sales $314K– $344K 6 sales Over $344K 5 sales $0 $100 $200 $197 $208 $191 $190 Net price per SF, average

The average is $190 per SF for homes over $344K and $197 per SF for homes under $285K. It does not move in a straight line; homes $285K–$311K are highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Homes over $344K are about 700 SF (51%) larger than homes under $285K

2026-10-26T05:47:01.074238 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 5 sales $285K– $311K 5 sales $314K– $344K 6 sales Over $344K 5 sales 0 1,000 2,000 1,372 1,437 1,714 2,076 Living area (SF), average

The average is 2,076 SF for homes over $344K and 1,372 SF for homes under $285K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

✓ Real difference · large

3.5 Year built: no clear difference

2026-10-26T05:47:01.098447 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 5 sales $285K– $311K 5 sales $314K– $344K 6 sales Over $344K 5 sales 2000 2001 2002 2003 2001 2001 2001 2003 Year built: median (dot) and middle half (bar)

The median is 2003 for homes over $344K and 2001 for homes under $285K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T05:47:01.121279 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 5 sales $285K– $311K 5 sales $314K– $344K 6 sales Over $344K 5 sales 0 20 40 60 66 22 17 17 Days on market, median

The median is 17 days for homes over $344K and 66 days for homes under $285K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T05:47:01.145951 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $285K 5 sales $285K– $311K 5 sales $314K– $344K 6 sales Over $344K 5 sales 0.0% 2.0% 4.0% 6.0% 6.4% 3.5% 2.8% 2.7% Discount from original list, average

The average is 2.7% for homes over $344K and 6.4% for homes under $285K. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T05:47:01.180910 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% 20 60 0 40 60 20 33 83 17 20 100 0 Under $285K $285K–$311K $314K–$344K Over $344K

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

  • 20% of homes over $344K had a price cut before sale, against 20% of homes under $285K. Defined in 8.1.7.
  • 100% of homes over $344K had the seller pay closing costs or repairs, against 60% of homes under $285K. Defined in 8.1.8.
  • 0% of homes over $344K have a view, against 0% of homes under $285K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

3.9 The numbers: price and size

Under $285K5 sales$285K–$311K5 sales$314K–$344K6 salesOver $344K5 salesAll21 salesReal difference?
Net sale price average$269,764$297,650$326,997$391,500$321,740by design
Net price per SF average$197$208$191$190$196unclear
Living area average1,3721,4371,7142,0761,653✓ large
Year built median20012001200120032001unclear

3.10 The numbers: selling

Under $285K5 sales$285K–$311K5 sales$314K–$344K6 salesOver $344K5 salesAll21 salesReal difference?
Days on market median6622171722unclear
Discount from original list average6.4%3.5%2.8%2.7%3.8%unclear
Price cut before sale20%40%33%20%29%unclear
Seller paid closing costs or repairs60%60%83%100%76%unclear
Has a view0%20%17%0%10%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 8.3.1.

4. Quartiles by living areaResale homes · 21 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.

2026-10-26T05:47:01.205681 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 6 6 21 sales Sales per group Under 1,402 SF: 4 sales (19%) 1,402–1,560 SF: 5 sales (24%) 1,599–1,744 SF: 6 sales (29%) Over 1,744 SF: 6 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

2026-10-26T05:47:01.228824 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,402 SF 4 sales 1,402– 1,560 SF 5 sales 1,599– 1,744 SF 6 sales Over 1,744 SF 6 sales $0K $200K $400K $273K $292K $324K $376K Net sale price, average

The average is $376K for homes over 1,744 SF and $273K for homes under 1,402 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

2026-10-26T05:47:01.254318 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,402 SF 4 sales 1,402– 1,560 SF 5 sales 1,599– 1,744 SF 6 sales Over 1,744 SF 6 sales $0 $100 $200 $210 $203 $195 $183 Net price per SF, average

The average is $183 per SF for homes over 1,744 SF and $210 per SF for homes under 1,402 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:47:01.280560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,402 SF 4 sales 1,402– 1,560 SF 5 sales 1,599– 1,744 SF 6 sales Over 1,744 SF 6 sales 2000 2001 2002 2003 2000 2001 2001 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over 1,744 SF and 2000 for homes under 1,402 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:47:01.306262 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,402 SF 4 sales 1,402– 1,560 SF 5 sales 1,599– 1,744 SF 6 sales Over 1,744 SF 6 sales 0 20 40 60 52 39 20 14 Days on market, median

The median is 14 days for homes over 1,744 SF and 52 days for homes under 1,402 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:47:01.331033 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,402 SF 4 sales 1,402– 1,560 SF 5 sales 1,599– 1,744 SF 6 sales Over 1,744 SF 6 sales 0.0% 2.0% 4.0% 6.0% 3.3% 6.3% 3.7% 2.2% Discount from original list, average

The average is 2.2% for homes over 1,744 SF and 3.3% for homes under 1,402 SF. It does not move in a straight line; homes 1,402–1,560 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

2026-10-26T05:47:01.361305 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 25 0 40 80 20 33 100 0 17 83 17 Under 1,402 SF 1,402–1,560 SF 1,599–1,744 SF Over 1,744 SF

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

  • 17% of homes over 1,744 SF had a price cut before sale, against 25% of homes under 1,402 SF. Defined in 8.1.7.
  • 83% of homes over 1,744 SF had the seller pay closing costs or repairs, against 25% of homes under 1,402 SF. Defined in 8.1.8.
  • 17% of homes over 1,744 SF have a view, against 0% of homes under 1,402 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 1,402 SF4 sales1,402–1,560 SF5 sales1,599–1,744 SF6 salesOver 1,744 SF6 salesAll21 sales
Net sale price average$272,862$292,124$324,347$376,400$321,740
Net price per SF average$210$203$195$183$196
Living area average1,3001,4441,6602,0541,653
Year built median20002001200120022001

4.10 The numbers: selling

Under 1,402 SF4 sales1,402–1,560 SF5 sales1,599–1,744 SF6 salesOver 1,744 SF6 salesAll21 sales
Days on market median5239201422
Discount from original list average3.3%6.3%3.7%2.2%3.8%
Price cut before sale25%40%33%17%29%
Seller paid closing costs or repairs25%80%100%83%76%
Has a view0%20%0%17%10%

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 · 21 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.

2026-10-26T05:47:01.381350 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 10 5 21 sales Sales per group Before 2001: 6 sales (29%) 2001: 10 sales (48%) After 2001: 5 sales (24%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 At a glance

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

Before 20012001After 2001Real difference?
Net sale price$302K$308K$372Kunclear
Net price per SF$194 per SF$203 per SF$185 per SFunclear
Living area1,570 SF1,525 SF2,007 SFunclear
Days on market19 days34 days19 daysunclear
Discount from original list4.1%3.1%5.0%unclear
Price cut before sale17%40%20%unclear
Seller paid closing costs or repairs67%70%100%unclear
Has a view0%20%0%unclear

5.3 Net sale price: no clear difference

2026-10-26T05:47:01.401060 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 10 sales After 2001 5 sales $0K $100K $200K $300K $400K $302K $308K $372K Net sale price, average

The average is $372K for homes built after 2001 and $302K for homes built before 2001. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T05:47:01.424218 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 10 sales After 2001 5 sales $0 $50 $100 $150 $200 $194 $203 $185 Net price per SF, average

The average is $185 per SF for homes built after 2001 and $194 per SF for homes built before 2001. It does not move in a straight line; homes built 2001 are highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T05:47:01.445278 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 10 sales After 2001 5 sales 0 500 1,000 1,500 2,000 1,570 1,525 2,007 Living area (SF), average

The average is 2,007 SF for homes built after 2001 and 1,570 SF for homes built before 2001. It does not move in a straight line; homes built after 2001 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T05:47:01.466011 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 10 sales After 2001 5 sales 0 10 20 30 40 19 34 19 Days on market, median

The median is 19 days for homes built after 2001 and 19 days for homes built before 2001. It does not move in a straight line; homes built 2001 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T05:47:01.487212 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2001 6 sales 2001 10 sales After 2001 5 sales 0.0% 2.0% 4.0% 4.1% 3.1% 5.0% Discount from original list, average

The average is 5.0% for homes built after 2001 and 4.1% for homes built before 2001. It does not move in a straight line; homes built after 2001 are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T05:47:01.509846 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% 17 67 0 40 70 20 20 100 0 Before 2001 2001 After 2001

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

  • 20% of homes built after 2001 had a price cut before sale, against 17% of homes built before 2001. Defined in 8.1.7.
  • 100% of homes built after 2001 had the seller pay closing costs or repairs, against 67% of homes built before 2001. Defined in 8.1.8.
  • 0% of homes built after 2001 have a view, against 0% of homes built before 2001. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 20016 sales200110 salesAfter 20015 salesAll21 salesReal difference?
Net sale price average$301,808$308,353$372,434$321,740unclear
Net price per SF average$194$203$185$196unclear
Living area average1,5701,5252,0071,653unclear
Year built median2000200120032001by design

5.10 The numbers: selling

Before 20016 sales200110 salesAfter 20015 salesAll21 salesReal difference?
Days on market median19341922unclear
Discount from original list average4.1%3.1%5.0%3.8%unclear
Price cut before sale17%40%20%29%unclear
Seller paid closing costs or repairs67%70%100%76%unclear
Has a view0%20%0%10%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 8.3.3.

6. View and no viewResale homes · 21 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.

2026-10-26T05:47:01.528182 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 19 21 sales Sales per group View: 2 sales (10%) No view: 19 sales (90%)
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

2026-10-26T05:47:01.545315 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 19 sales $0K $100K $200K $300K $321K $322K Net sale price, average

The average is $321K for homes with a view and $322K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:47:01.563473 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 19 sales $0 $50 $100 $150 $200 $200 $196 Net price per SF, average

The average is $200 per SF for homes with a view and $196 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:47:01.581248 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 19 sales 0 500 1,000 1,500 1,624 1,656 Living area (SF), average

The average is 1,624 SF for homes with a view and 1,656 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:47:01.663980 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 19 sales 2000 2001 2001 2001 Year built: median (dot) and middle half (bar)

The median is 2001 for homes with a view and 2001 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:47:01.682672 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 19 sales 0 10 20 19 22 Days on market, median

The median is 19 days for homes with a view and 22 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

2026-10-26T05:47:01.700736 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 19 sales 0.0% 1.0% 2.0% 3.0% 4.0% 1.9% 4.0% Discount from original list, average

The average is 1.9% for homes with a view and 4.0% 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

2026-10-26T05:47:01.720332 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 50 26 79 View No view

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

  • 50% of homes with a view had a price cut before sale, against 26% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 79% 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

View2 salesNo view19 salesAll21 sales
Net sale price average$321,125$321,805$321,740
Net price per SF average$200$196$196
Living area average1,6241,6561,653
Year built median200120012001

6.11 The numbers: selling

View2 salesNo view19 salesAll21 sales
Days on market median192222
Discount from original list average1.9%4.0%3.8%
Price cut before sale50%26%29%
Seller paid closing costs or repairs50%79%76%

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 Cambridge Heights.

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
21 resale sales. Average $321,740; median $314,280; standard deviation $56,089; middle half (25th–75th percentile) $285,000–$344,500; lowest $240,000, highest $514,500. 16 sales had a seller payment; their median payment was $8,025.

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
21 resale sales. Average $196; median $196; standard deviation $18; middle half (25th–75th percentile) $185–$212; lowest $159, highest $230.

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
21 resale sales. Average 1,653; median 1,599; standard deviation 325; middle half (25th–75th percentile) 1,402–1,826; lowest 1,299, highest 2,470.

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
21 resale sales. Average 2001; median 2001; standard deviation 1; middle half (25th–75th percentile) 2000–2001; lowest 1999, highest 2004.

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
21 resale sales. Average 43; median 22; standard deviation 46; middle half (25th–75th percentile) 10–66; lowest 0, highest 139. 1 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
21 resale sales. Average 3.8%; median 2.9%; standard deviation 4.0%; middle half (25th–75th percentile) 1.3%–5.7%; lowest −1.9%, highest 13.6%. 2 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 21 resale sales (28.6%).

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
16 of 21 resale sales (76.2%).

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
2 sales with a view, 19 without, 0 unclassified. Most common View entries: None 16, Neighborhood 3, Trees/Woods 2, Park/Greenbelt 1, Skyline 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 = Round Rock, SubdivisionName contains any of “cambridge heights”, “meadows at cambridge heights p”, “meadows at cambridge heights” (case-insensitive). A record is kept when its subdivision name belongs to the Cambridge Heights family, the same rule comparable sales use (it includes Meadows At Cambridge Heights P, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 21 closed Cambridge Heights records over the prior year, in ZIP 78664. 9 subdivision spellings kept: Cambridge Heights (5); Cambridge Heights Ph B Sec 04 (3); Cambridge Heights Ph B Sec 03 (3); Meadows At Cambridge Heights P (3); Cambridge Heights Ph B Sec 01 (2); Cambridge Heights Ph C Sec 1r (2); Cambridge Heights Ph A Sec 01-A (1); Meadows At Cambridge Heights (1); Cambridge Heights Ph A Sec 04 (1). Names found by the search but not part of Cambridge Heights, left out: Meadows At Cambridge Heights PHS 01 (1); Correction/Mdws Atcambridge Heights (1); Cambridge Heights Phs A Sec 1-b (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 10 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
21 single-family sales in the window: 21 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
21 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
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 $285K”.
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 $285K: $240,000–$282,270 (5 sales); $285K–$311K: $285,000–$311,250 (5 sales); $314K–$344K: $314,280–$344,500 (6 sales); Over $344K: $347,500–$514,500 (5 sales)
Quartiles by living area: Under 1,402 SF: 1,299–1,303 SF (4 sales); 1,402–1,560 SF: 1,402–1,560 SF (5 sales); 1,599–1,744 SF: 1,599–1,744 SF (6 sales); Over 1,744 SF: 1,826–2,470 SF (6 sales)
Groups by year built: Before 2001: 1999–2000 (6 sales); 2001: 2001–2001 (10 sales); After 2001: 2002–2004 (5 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (19 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 $321,740, median $314,280. Days on market: average 43, median 22: the average is pulled up by a few long listings.

8.2.7 Kruskal–Wallis test

In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.

8.2.8 Mann–Whitney U test

In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.

8.2.9 Chi-square test

In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.

8.2.10 Real difference (significance)

In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Groups by year built: 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
1 real differences across the four slices; sizes are listed in 8.3.

8.2.12 Rounding in the text

In simple terms
Headings and sentences round figures so they read easily; the tables at the end of each section give them in full.
Statistically
Prices in headings round to the nearest $1K; price per SF and days on market to the nearest whole number; living area to the nearest 10 SF; shares and percentage gaps to whole percents.
The data
Days on market is always shown in days.

8.3 Test results

Every test behind every gold box. Statistic, degrees of freedom (df), p-value, the threshold it must beat, and the size of the difference.

8.3.1 Quartiles by net sale price

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 2.9430.4011p < 0.0063Unclearε² = 0.147large
Living areaKruskal–WallisH = 16.2530.0010p < 0.0063Yesε² = 0.813large
Year builtKruskal–WallisH = 3.1930.3627p < 0.0063Unclearε² = 0.160large
Days on marketKruskal–WallisH = 1.8930.5961p < 0.0063Unclearε² = 0.094medium
Discount from original listKruskal–WallisH = 1.4430.6954p < 0.0063Unclearε² = 0.072medium
Price cut before saleChi-squareχ² = 0.7530.8622p < 0.0063UnclearCramér’s V = 0.189small
Seller paid closing costs or repairsChi-squareχ² = 3.1830.3652p < 0.0063UnclearCramér’s V = 0.389medium
Has a viewChi-squareχ² = 2.0430.5632p < 0.0063UnclearCramér’s V = 0.312medium

8.3.2 Quartiles by living area

Too few sales in a group to test.

8.3.3 Groups by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.1820.1239p < 0.0063Unclearε² = 0.209large
Net price per SFKruskal–WallisH = 3.0120.2221p < 0.0063Unclearε² = 0.150large
Living areaKruskal–WallisH = 6.0320.0491p < 0.0063Unclearε² = 0.301large
Days on marketKruskal–WallisH = 0.6020.7398p < 0.0063Unclearε² = 0.030small
Discount from original listKruskal–WallisH = 0.7020.7036p < 0.0063Unclearε² = 0.035small
Price cut before saleChi-squareχ² = 1.2420.5388p < 0.0063UnclearCramér’s V = 0.243small
Seller paid closing costs or repairsChi-squareχ² = 2.0720.3546p < 0.0063UnclearCramér’s V = 0.314medium
Has a viewChi-squareχ² = 2.4320.2965p < 0.0063UnclearCramér’s V = 0.340medium

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); 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 21 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.