ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Double Eagle Ranch

Cedar Creek, TX 78612
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 · 5:57 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
16
single-family resale homes
Median net sale price
$635,000
average $634,414
Median net price per SF
$221
average $219
Median days on market
57 days
average 87 days
1. SummaryResale homes · 16 sales · October 26, 2025 – October 25, 2026

This study looks at the 16 resale homes sold in Double Eagle Ranch 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 sold16 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 $594K · 4 sales$594K–$625K · 4 sales$645K–$672K · 4 salesOver $672K · 4 sales
3. Quartiles by net sale priceResale homes · 16 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.

2026-10-26T05:57:24.433455 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 4 4 16 sales Sales per group Under $594K: 4 sales (25%) $594K–$625K: 4 sales (25%) $645K–$672K: 4 sales (25%) Over $672K: 4 sales (25%)
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

2026-10-26T05:57:24.463889 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $594K 4 sales $594K– $625K 4 sales $645K– $672K 4 sales Over $672K 4 sales $0 $100 $200 $220 $210 $214 $232 Net price per SF, average

The average is $232 per SF for homes over $672K and $220 per SF for homes under $594K. It does not move in a straight line; homes over $672K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:57:24.488394 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $594K 4 sales $594K– $625K 4 sales $645K– $672K 4 sales Over $672K 4 sales 0 1,000 2,000 3,000 2,522 2,930 3,058 3,113 Living area (SF), average

The average is 3,113 SF for homes over $672K and 2,522 SF for homes under $594K. 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

2026-10-26T05:57:24.514806 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $594K 4 sales $594K– $625K 4 sales $645K– $672K 4 sales Over $672K 4 sales 2019 2020 2021 2022 2023 2022 2020 2020 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over $672K and 2022 for homes under $594K. It does not move in a straight line; homes under $594K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:57:24.538173 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $594K 4 sales $594K– $625K 4 sales $645K– $672K 4 sales Over $672K 4 sales 0 50 100 104 70 70 28 Days on market, median

The median is 28 days for homes over $672K and 104 days for homes under $594K. 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

2026-10-26T05:57:24.560221 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $594K 4 sales $594K– $625K 4 sales $645K– $672K 4 sales Over $672K 4 sales 0.0% 5.0% 10.0% 5.0% 8.8% 4.7% 2.5% Discount from original list, average

The average is 2.5% for homes over $672K and 5.0% for homes under $594K. It does not move in a straight line; homes $594K–$625K are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T05:57:24.590643 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 25 75 75 25 75 50 50 75 25 75 75 Under $594K $594K–$625K $645K–$672K Over $672K

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

  • 25% of homes over $672K had a price cut before sale, against 50% of homes under $594K. Defined in 8.1.7.
  • 75% of homes over $672K had the seller pay closing costs or repairs, against 25% of homes under $594K. Defined in 8.1.8.
  • 75% of homes over $672K have a view, against 75% of homes under $594K. 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 $594K4 sales$594K–$625K4 sales$645K–$672K4 salesOver $672K4 salesAll16 sales
Net sale price average$554,625$608,125$653,804$721,100$634,414
Net price per SF average$220$210$214$232$219
Living area average2,5222,9303,0583,1132,906
Year built median20222020202020202021

3.10 The numbers: selling

Under $594K4 sales$594K–$625K4 sales$645K–$672K4 salesOver $672K4 salesAll16 sales
Days on market median10470702857
Discount from original list average5.0%8.8%4.7%2.5%5.3%
Price cut before sale50%75%50%25%50%
Seller paid closing costs or repairs25%25%50%75%44%
Has a view75%75%75%75%75%

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 · 16 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.

2026-10-26T05:57:24.612048 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 5 4 4 16 sales Sales per group Under 2,644 SF: 3 sales (19%) 2,644–2,910 SF: 5 sales (31%) 2,925–3,168 SF: 4 sales (25%) Over 3,168 SF: 4 sales (25%)
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

2026-10-26T05:57:24.634743 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,644 SF 3 sales 2,644– 2,910 SF 5 sales 2,925– 3,168 SF 4 sales Over 3,168 SF 4 sales $0K $250K $500K $750K $543K $621K $663K $691K Net sale price, average

The average is $691K for homes over 3,168 SF and $543K for homes under 2,644 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

2026-10-26T05:57:24.659164 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,644 SF 3 sales 2,644– 2,910 SF 5 sales 2,925– 3,168 SF 4 sales Over 3,168 SF 4 sales $0 $100 $200 $219 $225 $219 $212 Net price per SF, average

The average is $212 per SF for homes over 3,168 SF and $219 per SF for homes under 2,644 SF. It does not move in a straight line; homes 2,644–2,910 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:57:24.684579 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,644 SF 3 sales 2,644– 2,910 SF 5 sales 2,925– 3,168 SF 4 sales Over 3,168 SF 4 sales 2019 2020 2021 2022 2023 2022 2021 2019 2020 Year built: median (dot) and middle half (bar)

The median is 2020 for homes over 3,168 SF and 2022 for homes under 2,644 SF. It does not move in a straight line; homes under 2,644 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:57:24.708936 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,644 SF 3 sales 2,644– 2,910 SF 5 sales 2,925– 3,168 SF 4 sales Over 3,168 SF 4 sales 0 50 100 150 163 37 70 73 Days on market, median

The median is 73 days for homes over 3,168 SF and 163 days for homes under 2,644 SF. It does not move in a straight line; homes under 2,644 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:57:24.731867 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,644 SF 3 sales 2,644– 2,910 SF 5 sales 2,925– 3,168 SF 4 sales Over 3,168 SF 4 sales 0.0% 2.0% 4.0% 6.0% 6.4% 3.4% 5.8% 6.2% Discount from original list, average

The average is 6.2% for homes over 3,168 SF and 6.4% for homes under 2,644 SF. It does not move in a straight line; homes under 2,644 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

2026-10-26T05:57:24.760678 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% 67 33 67 40 40 100 75 75 75 25 25 50 Under 2,644 SF 2,644–2,910 SF 2,925–3,168 SF Over 3,168 SF

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

  • 25% of homes over 3,168 SF had a price cut before sale, against 67% of homes under 2,644 SF. Defined in 8.1.7.
  • 25% of homes over 3,168 SF had the seller pay closing costs or repairs, against 33% of homes under 2,644 SF. Defined in 8.1.8.
  • 50% of homes over 3,168 SF have a view, against 67% of homes under 2,644 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 2,644 SF3 sales2,644–2,910 SF5 sales2,925–3,168 SF4 salesOver 3,168 SF4 salesAll16 sales
Net sale price average$542,833$621,000$663,407$690,872$634,414
Net price per SF average$219$225$219$212$219
Living area average2,4812,7613,0373,2742,906
Year built median20222021201920202021

4.10 The numbers: selling

Under 2,644 SF3 sales2,644–2,910 SF5 sales2,925–3,168 SF4 salesOver 3,168 SF4 salesAll16 sales
Days on market median16337707357
Discount from original list average6.4%3.4%5.8%6.2%5.3%
Price cut before sale67%40%75%25%50%
Seller paid closing costs or repairs33%40%75%25%44%
Has a view67%100%75%50%75%

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 · 16 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.

2026-10-26T05:57:24.782244 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 3 5 4 16 sales Sales per group Before 2020: 4 sales (25%) 2020: 3 sales (19%) 2021–2022: 5 sales (31%) After 2022: 4 sales (25%)
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

2026-10-26T05:57:24.803735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 4 sales 2020 3 sales 2021– 2022 5 sales After 2022 4 sales $0K $250K $500K $750K $655K $668K $631K $593K Net sale price, average

The average is $593K for homes built after 2022 and $655K for homes built before 2020. It does not move in a straight line; homes built 2020 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T05:57:24.827700 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 4 sales 2020 3 sales 2021– 2022 5 sales After 2022 4 sales $0 $100 $200 $226 $211 $220 $216 Net price per SF, average

The average is $216 per SF for homes built after 2022 and $226 per SF for homes built before 2020. It does not move in a straight line; homes built before 2020 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T05:57:24.849204 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 4 sales 2020 3 sales 2021– 2022 5 sales After 2022 4 sales 0 1,000 2,000 3,000 2,906 3,191 2,857 2,754 Living area (SF), average

The average is 2,754 SF for homes built after 2022 and 2,906 SF for homes built before 2020. It does not move in a straight line; homes built 2020 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T05:57:24.873854 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 4 sales 2020 3 sales 2021– 2022 5 sales After 2022 4 sales 0 50 100 82 124 38 41 Days on market, median

The median is 41 days for homes built after 2022 and 82 days for homes built before 2020. It does not move in a straight line; homes built 2020 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T05:57:24.898768 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2020 4 sales 2020 3 sales 2021– 2022 5 sales After 2022 4 sales 0.0% 2.5% 5.0% 7.5% 5.0% 7.0% 5.2% 4.3% Discount from original list, average

The average is 4.3% for homes built after 2022 and 5.0% for homes built before 2020. It does not move in a straight line; homes built 2020 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

2026-10-26T05:57:24.924858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 75 50 75 33 33 33 40 20 80 50 75 100 Before 2020 2020 2021–2022 After 2022

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

  • 50% of homes built after 2022 had a price cut before sale, against 75% of homes built before 2020. Defined in 8.1.7.
  • 75% of homes built after 2022 had the seller pay closing costs or repairs, against 50% of homes built before 2020. Defined in 8.1.8.
  • 100% of homes built after 2022 have a view, against 75% of homes built before 2020. 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 20204 sales20203 sales2021–20225 salesAfter 20224 salesAll16 sales
Net sale price average$655,100$668,163$630,900$592,807$634,414
Net price per SF average$226$211$220$216$219
Living area average2,9063,1912,8572,7542,906
Year built median20182020202120232021

5.10 The numbers: selling

Before 20204 sales20203 sales2021–20225 salesAfter 20224 salesAll16 sales
Days on market median82124384157
Discount from original list average5.0%7.0%5.2%4.3%5.3%
Price cut before sale75%33%40%50%50%
Seller paid closing costs or repairs50%33%20%75%44%
Has a view75%33%80%100%75%

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 · 16 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. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T05:57:24.943949 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 12 3 15 sales Sales per group View: 12 sales (80%) No view: 3 sales (20%)
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

2026-10-26T05:57:24.959820 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 3 sales $0K $200K $400K $600K $633K $616K Net sale price, average

The average is $633K for homes with a view and $616K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:57:24.978017 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 3 sales $0 $100 $200 $222 $203 Net price per SF, average

The average is $222 per SF for homes with a view and $203 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:57:24.996569 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 3 sales 0 1,000 2,000 3,000 2,850 3,062 Living area (SF), average

The average is 2,850 SF for homes with a view and 3,062 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:57:25.070459 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 3 sales 2020 2021 2022 2023 2021 2020 Year built: median (dot) and middle half (bar)

The median is 2021 for homes with a view and 2020 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:57:25.088902 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 3 sales 0 50 100 150 42 126 Days on market, median

The median is 42 days for homes with a view and 126 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

2026-10-26T05:57:25.108782 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 12 sales No view 3 sales 0.0% 2.5% 5.0% 7.5% 10.0% 4.2% 9.6% Discount from original list, average

The average is 4.2% for homes with a view and 9.6% 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

2026-10-26T05:57:25.128447 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 42 50 67 0 View No view

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

  • 42% of homes with a view had a price cut before sale, against 67% 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 0% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View12 salesNo view3 salesAll15 sales
Net sale price average$632,769$615,663$629,348
Net price per SF average$222$203$218
Living area average2,8503,0622,892
Year built median202120202021

6.11 The numbers: selling

View12 salesNo view3 salesAll15 sales
Days on market median4212653
Discount from original list average4.2%9.6%5.3%
Price cut before sale42%67%47%
Seller paid closing costs or repairs50%0%40%

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 · 12 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: 12 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 Double Eagle Ranch.
MeasureAverageMedian
Sales12
Net sale price$590,820$594,983
Net price per SF$220$223
Living area (SF)2,6862,788
Days on market345212
Discount from original list15.4%15.2%
Price cut before sale92% of sales
Seller paid closing costs or repairs67% of sales
Year built2020–2025

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
16 resale sales. Average $634,414; median $635,000; standard deviation $65,094; middle half (25th–75th percentile) $593,375–$680,868; lowest $538,500, highest $746,500. 7 sales had a seller payment; their median payment was $8,000.

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
16 resale sales. Average $219; median $221; standard deviation $14; middle half (25th–75th percentile) $215–$226; lowest $180, highest $243.

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
16 resale sales. Average 2,906; median 2,918; standard deviation 308; middle half (25th–75th percentile) 2,644–3,175; lowest 2,442, highest 3,468.

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
16 resale sales. Average 2021; median 2021; standard deviation 2; middle half (25th–75th percentile) 2020–2022; lowest 2018, highest 2024.

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
16 resale sales. Average 87; median 57; standard deviation 74; middle half (25th–75th percentile) 36–124; lowest 7, highest 260. 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
16 resale sales. Average 5.3%; median 4.4%; standard deviation 5.1%; middle half (25th–75th percentile) 1.1%–7.6%; lowest 0.0%, highest 19.4%. 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
8 of 16 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
7 of 16 resale sales (43.8%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
12 sales with a view, 3 without, 1 unclassified. Most common View entries: Trees/Woods 9, Park/Greenbelt 5, Hill Country 4, Neighborhood 3, See Remarks 2, None 2.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Cedar Creek, SubdivisionName contains any of “double eagle ranch” (case-insensitive). A record is kept when its subdivision name belongs to the Double Eagle Ranch family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 28 closed Double Eagle Ranch records over the prior year, in ZIP 78612. 7 subdivision spellings kept: Double Eagle Ranch (13); Double Eagle Ranch Sec 1 (7); Double Eagle Ranch, Sec 2 (3); Double Eagle Ranch Ph B Sec 3 (2); Double Eagle Ranch Sec 3 Ph B (1); Double Eagle Ranch Sec 4 (1); DOUBLE EAGLE RANCH (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 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
28 single-family sales in the window: 16 resale, 12 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
16 resale; 12 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 $594K”.
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 $594K: $538,500–$590,000 (4 sales); $594K–$625K: $594,500–$625,000 (4 sales); $645K–$672K: $645,000–$671,990 (4 sales); Over $672K: $707,500–$746,500 (4 sales)
Quartiles by living area: Under 2,644 SF: 2,442–2,522 SF (3 sales); 2,644–2,910 SF: 2,644–2,910 SF (5 sales); 2,925–3,168 SF: 2,925–3,168 SF (4 sales); Over 3,168 SF: 3,196–3,468 SF (4 sales)
Quartiles by year built: Before 2020: 2018–2019 (4 sales); 2020: 2020–2020 (3 sales); 2021–2022: 2021–2022 (5 sales); After 2022: 2023–2024 (4 sales)
View and no view: View: MLS lists a view (12 sales); No view: None or Neighborhood (3 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 $634,414, median $635,000. Days on market: average 87, median 57: 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: 12 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 16 closed MLS resale sales; the 12 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.