ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Cimarron

Round Rock, TX 78681
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 · 5:48 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
18
single-family resale homes
Median net sale price
$416,268
average $414,436
Median net price per SF
$216
average $210
Median days on market
53 days
average 83 days
1. SummaryResale homes · 18 sales · October 26, 2025 – October 25, 2026

This study looks at the 18 resale homes sold in Cimarron in the 365 days to October 25, 2026. A full year is used because only 11 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 sold18 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 $384K · 4 sales$384K–$413K · 5 sales$420K–$457K · 5 salesOver $457K · 4 sales
3. Quartiles by net sale priceResale homes · 18 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.

2026-10-26T05:48:24.472210 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $384K: 4 sales (22%) $384K–$413K: 5 sales (28%) $420K–$457K: 5 sales (28%) Over $457K: 4 sales (22%)
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

2026-10-26T05:48:24.499977 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $384K 4 sales $384K– $413K 5 sales $420K– $457K 5 sales Over $457K 4 sales $0 $100 $200 $300 $194 $192 $206 $254 Net price per SF, average

The average is $254 per SF for homes over $457K and $194 per SF for homes under $384K. It does not move in a straight line; homes over $457K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:48:24.522624 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $384K 4 sales $384K– $413K 5 sales $420K– $457K 5 sales Over $457K 4 sales 0 1,000 2,000 1,809 2,170 2,110 1,916 Living area (SF), average

The average is 1,916 SF for homes over $457K and 1,809 SF for homes under $384K. It does not move in a straight line; homes $384K–$413K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T05:48:24.545317 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $384K 4 sales $384K– $413K 5 sales $420K– $457K 5 sales Over $457K 4 sales 1978 1980 1982 1977 1978 1981 1981 Year built: median (dot) and middle half (bar)

The median is 1981 for homes over $457K and 1977 for homes under $384K. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:48:24.567435 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $384K 4 sales $384K– $413K 5 sales $420K– $457K 5 sales Over $457K 4 sales 0 50 100 101 53 53 8 Days on market, median

The median is 8 days for homes over $457K and 101 days for homes under $384K. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:48:24.588750 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $384K 4 sales $384K– $413K 5 sales $420K– $457K 5 sales Over $457K 4 sales 0.0% 5.0% 10.0% 15.0% 13.6% 9.2% 7.1% 0.9% Discount from original list, average

The average is 0.9% for homes over $457K and 13.6% for homes under $384K. 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

2026-10-26T05:48:24.618502 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 0 40 60 40 40 100 0 0 75 25 Under $384K $384K–$413K $420K–$457K Over $457K

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

  • 0% of homes over $457K had a price cut before sale, against 75% of homes under $384K. Defined in 8.1.7.
  • 75% of homes over $457K had the seller pay closing costs or repairs, against 50% of homes under $384K. Defined in 8.1.8.
  • 25% of homes over $457K have a view, against 0% of homes under $384K. 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 $384K4 sales$384K–$413K5 sales$420K–$457K5 salesOver $457K4 salesAll18 sales
Net sale price average$344,100$398,987$430,363$484,175$414,436
Net price per SF average$194$192$206$254$210
Living area average1,8092,1702,1101,9162,017
Year built median19771978198119811979

3.10 The numbers: selling

Under $384K4 sales$384K–$413K5 sales$420K–$457K5 salesOver $457K4 salesAll18 sales
Days on market median1015353853
Discount from original list average13.6%9.2%7.1%0.9%7.8%
Price cut before sale75%40%40%0%39%
Seller paid closing costs or repairs50%60%100%75%72%
Has a view0%40%0%25%17%

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 · 18 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.

2026-10-26T05:48:24.638847 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 1,873 SF: 4 sales (22%) 1,873–1,979 SF: 5 sales (28%) 2,053–2,121 SF: 5 sales (28%) Over 2,121 SF: 4 sales (22%)
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

2026-10-26T05:48:24.659195 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,873 SF 4 sales 1,873– 1,979 SF 5 sales 2,053– 2,121 SF 5 sales Over 2,121 SF 4 sales $0K $200K $400K $387K $454K $392K $419K Net sale price, average

The average is $419K for homes over 2,121 SF and $387K for homes under 1,873 SF. It does not move in a straight line; homes 1,873–1,979 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T05:48:24.682037 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,873 SF 4 sales 1,873– 1,979 SF 5 sales 2,053– 2,121 SF 5 sales Over 2,121 SF 4 sales $0 $100 $200 $247 $235 $188 $170 Net price per SF, average

The average is $170 per SF for homes over 2,121 SF and $247 per SF for homes under 1,873 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

2026-10-26T05:48:24.706226 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,873 SF 4 sales 1,873– 1,979 SF 5 sales 2,053– 2,121 SF 5 sales Over 2,121 SF 4 sales 1977 1978 1979 1980 1981 1978 1981 1980 1978 Year built: median (dot) and middle half (bar)

The median is 1978 for homes over 2,121 SF and 1978 for homes under 1,873 SF. It does not move in a straight line; homes 1,873–1,979 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:48:24.729485 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,873 SF 4 sales 1,873– 1,979 SF 5 sales 2,053– 2,121 SF 5 sales Over 2,121 SF 4 sales 0 50 100 88 22 53 53 Days on market, median

The median is 53 days for homes over 2,121 SF and 88 days for homes under 1,873 SF. It does not move in a straight line; homes under 1,873 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:48:24.751335 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,873 SF 4 sales 1,873– 1,979 SF 5 sales 2,053– 2,121 SF 5 sales Over 2,121 SF 4 sales 0.0% 5.0% 10.0% 8.7% 4.4% 12.3% 5.3% Discount from original list, average

The average is 5.3% for homes over 2,121 SF and 8.7% for homes under 1,873 SF. It does not move in a straight line; homes 2,053–2,121 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

2026-10-26T05:48:24.777286 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 25 20 100 0 60 60 0 25 75 50 Under 1,873 SF 1,873–1,979 SF 2,053–2,121 SF Over 2,121 SF

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

  • 25% of homes over 2,121 SF had a price cut before sale, against 50% of homes under 1,873 SF. Defined in 8.1.7.
  • 75% of homes over 2,121 SF had the seller pay closing costs or repairs, against 50% of homes under 1,873 SF. Defined in 8.1.8.
  • 50% of homes over 2,121 SF have a view, against 25% of homes under 1,873 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 1,873 SF4 sales1,873–1,979 SF5 sales2,053–2,121 SF5 salesOver 2,121 SF4 salesAll18 sales
Net sale price average$387,350$454,333$392,167$419,488$414,436
Net price per SF average$247$235$188$170$210
Living area average1,5611,9322,0902,4882,017
Year built median19781981198019781979

4.10 The numbers: selling

Under 1,873 SF4 sales1,873–1,979 SF5 sales2,053–2,121 SF5 salesOver 2,121 SF4 salesAll18 sales
Days on market median8822535353
Discount from original list average8.7%4.4%12.3%5.3%7.8%
Price cut before sale50%20%60%25%39%
Seller paid closing costs or repairs50%100%60%75%72%
Has a view25%0%0%50%17%

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 · 18 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.

2026-10-26T05:48:24.797335 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 4 5 4 18 sales Sales per group Before 1978: 5 sales (28%) 1978: 4 sales (22%) 1980–1981: 5 sales (28%) After 1981: 4 sales (22%)
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

2026-10-26T05:48:24.817325 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 5 sales 1978 4 sales 1980– 1981 5 sales After 1981 4 sales $0K $200K $400K $384K $420K $424K $435K Net sale price, average

The average is $435K for homes built after 1981 and $384K for homes built before 1978. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:48:24.839310 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 5 sales 1978 4 sales 1980– 1981 5 sales After 1981 4 sales $0 $100 $200 $213 $180 $224 $220 Net price per SF, average

The average is $220 per SF for homes built after 1981 and $213 per SF for homes built before 1978. It does not move in a straight line; homes built 1980–1981 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:48:24.860314 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 5 sales 1978 4 sales 1980– 1981 5 sales After 1981 4 sales 0 1,000 2,000 1,841 2,394 1,895 2,012 Living area (SF), average

The average is 2,012 SF for homes built after 1981 and 1,841 SF for homes built before 1978. It does not move in a straight line; homes built 1978 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:48:24.881810 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 5 sales 1978 4 sales 1980– 1981 5 sales After 1981 4 sales 0 50 100 108 66 11 38 Days on market, median

The median is 38 days for homes built after 1981 and 108 days for homes built before 1978. It does not move in a straight line; homes built before 1978 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:48:24.902724 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1978 5 sales 1978 4 sales 1980– 1981 5 sales After 1981 4 sales 0.0% 5.0% 10.0% 10.1% 6.4% 5.2% 9.4% Discount from original list, average

The average is 9.4% for homes built after 1981 and 10.1% for homes built before 1978. It does not move in a straight line; homes built before 1978 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

2026-10-26T05:48:24.927721 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% 40 60 0 50 75 50 40 100 0 25 50 25 Before 1978 1978 1980–1981 After 1981

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

  • 25% of homes built after 1981 had a price cut before sale, against 40% of homes built before 1978. Defined in 8.1.7.
  • 50% of homes built after 1981 had the seller pay closing costs or repairs, against 60% of homes built before 1978. Defined in 8.1.8.
  • 25% of homes built after 1981 have a view, against 0% of homes built before 1978. 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 19785 sales19784 sales1980–19815 salesAfter 19814 salesAll18 sales
Net sale price average$383,820$419,988$424,253$434,884$414,436
Net price per SF average$213$180$224$220$210
Living area average1,8412,3941,8952,0122,017
Year built median19771978198119821979

5.10 The numbers: selling

Before 19785 sales19784 sales1980–19815 salesAfter 19814 salesAll18 sales
Days on market median10866113853
Discount from original list average10.1%6.4%5.2%9.4%7.8%
Price cut before sale40%50%40%25%39%
Seller paid closing costs or repairs60%75%100%50%72%
Has a view0%50%0%25%17%

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 · 18 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.

2026-10-26T05:48:24.946331 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 15 18 sales Sales per group View: 3 sales (17%) No view: 15 sales (83%)
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

2026-10-26T05:48:24.962243 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales $0K $200K $400K $427K $412K Net sale price, average

The average is $427K for homes with a view and $412K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:48:24.979560 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales $0 $100 $200 $198 $213 Net price per SF, average

The average is $198 per SF for homes with a view and $213 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:48:25.023541 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0 1,000 2,000 2,294 1,961 Living area (SF), average

The average is 2,294 SF for homes with a view and 1,961 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:48:25.043083 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 1977 1978 1979 1980 1981 1978 1980 Year built: median (dot) and middle half (bar)

The median is 1978 for homes with a view and 1980 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:48:25.061650 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0 20 40 60 80 7 67 Days on market, median

The median is 7 days for homes with a view and 67 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

2026-10-26T05:48:25.081330 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0.0% 2.5% 5.0% 7.5% 10.0% 2.7% 8.8% Discount from original list, average

The average is 2.7% for homes with a view and 8.8% 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

2026-10-26T05:48:25.100117 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 0 33 47 80 View No view

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

  • 0% of homes with a view had a price cut before sale, against 47% of homes without a view. Defined in 8.1.7.
  • 33% of homes with a view had the seller pay closing costs or repairs, against 80% 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

View3 salesNo view15 salesAll18 sales
Net sale price average$427,000$411,923$414,436
Net price per SF average$198$213$210
Living area average2,2941,9612,017
Year built median197819801979

6.11 The numbers: selling

View3 salesNo view15 salesAll18 sales
Days on market median76753
Discount from original list average2.7%8.8%7.8%
Price cut before sale0%47%39%
Seller paid closing costs or repairs33%80%72%

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 Cimarron.

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
18 resale sales. Average $414,436; median $416,268; standard deviation $53,080; middle half (25th–75th percentile) $385,800–$449,462; lowest $315,000, highest $523,500. 13 sales had a seller payment; their median payment was $5,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
18 resale sales. Average $210; median $216; standard deviation $39; middle half (25th–75th percentile) $182–$228; lowest $140, highest $279.

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
18 resale sales. Average 2,017; median 2,016; standard deviation 357; middle half (25th–75th percentile) 1,883–2,120; lowest 1,450, highest 2,938.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
18 resale sales. Average 1979; median 1979; standard deviation 2; middle half (25th–75th percentile) 1977–1981; lowest 1977, highest 1983.

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
18 resale sales. Average 83; median 53; standard deviation 117; middle half (25th–75th percentile) 10–97; lowest 3, highest 496. 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
18 resale sales. Average 7.8%; median 7.5%; standard deviation 7.0%; middle half (25th–75th percentile) 2.5%–10.5%; lowest −2.6%, highest 25.0%. 1 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
7 of 18 resale sales (38.9%).

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
13 of 18 resale sales (72.2%).

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
3 sales with a view, 15 without, 0 unclassified. Most common View entries: None 10, Neighborhood 6, Park/Greenbelt 2, See Remarks 1, Trees/Woods 1, Pool 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 “cimarron” (case-insensitive). A record is kept when its subdivision name belongs to the Cimarron family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 18 closed Cimarron records over the prior year, in ZIP 78681. 9 subdivision spellings kept: Cimarron Sec 07 (4); Cimarron Sec 06 (4); Cimarron Sec 01 (3); Cimarron Sec 02 (2); Cimarron Sec 03 (1); Cimarron Sec 05 (1); Cimarron (1); CIMARRON 1 (1); Cimarron Sec 04 (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 11 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: 18 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
18 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 $384K”.
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 $384K: $315,000–$370,000 (4 sales); $384K–$413K: $384,400–$412,537 (5 sales); $420K–$457K: $420,000–$456,950 (5 sales); Over $457K: $459,900–$523,500 (4 sales)
Quartiles by living area: Under 1,873 SF: 1,450–1,718 SF (4 sales); 1,873–1,979 SF: 1,873–1,979 SF (5 sales); 2,053–2,121 SF: 2,053–2,121 SF (5 sales); Over 2,121 SF: 2,227–2,938 SF (4 sales)
Quartiles by year built: Before 1978: 1977–1977 (5 sales); 1978: 1978–1978 (4 sales); 1980–1981: 1980–1981 (5 sales); After 1981: 1982–1983 (4 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (15 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 $414,436, median $416,268. Days on market: average 83, median 53: 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); 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 18 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.