ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Mill Creek

Salado, TX 76571
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 · 6:02 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
$545,000
average $561,830
Median net price per SF
$193
average $184
Median days on market
103 days
average 130 days
1. SummaryResale homes · 18 sales · October 26, 2025 – October 25, 2026

This study looks at the 18 resale homes sold in Mill Creek 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 $470K · 4 sales$470K–$530K · 5 sales$560K–$626K · 5 salesOver $626K · 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.

2026-10-26T06:02:58.427142 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under $470K: 4 sales (22%) $470K–$530K: 5 sales (28%) $560K–$626K: 5 sales (28%) Over $626K: 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

2026-10-26T06:02:58.456726 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $470K 4 sales $470K– $530K 5 sales $560K– $626K 5 sales Over $626K 4 sales $0 $100 $200 $147 $184 $210 $188 Net price per SF, average

The average is $188 per SF for homes over $626K and $147 per SF for homes under $470K. It does not move in a straight line; homes $560K–$626K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T06:02:58.479750 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $470K 4 sales $470K– $530K 5 sales $560K– $626K 5 sales Over $626K 4 sales 0 2,000 4,000 3,023 2,712 2,850 4,286 Living area (SF), average

The average is 4,286 SF for homes over $626K and 3,023 SF for homes under $470K. It does not move in a straight line; homes over $626K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T06:02:58.504533 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $470K 4 sales $470K– $530K 5 sales $560K– $626K 5 sales Over $626K 4 sales 1992 2000 2008 2016 1998 1993 2006 1997 Year built: median (dot) and middle half (bar)

The median is 1997 for homes over $626K and 1998 for homes under $470K. It does not move in a straight line; homes $560K–$626K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T06:02:58.527936 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $470K 4 sales $470K– $530K 5 sales $560K– $626K 5 sales Over $626K 4 sales 0 100 200 166 91 106 170 Days on market, median

The median is 170 days for homes over $626K and 166 days for homes under $470K. It does not move in a straight line; homes over $626K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T06:02:58.549886 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $470K 4 sales $470K– $530K 5 sales $560K– $626K 5 sales Over $626K 4 sales 0.0% 5.0% 10.0% 15.0% 13.5% 11.2% 7.0% 9.6% Discount from original list, average

The average is 9.6% for homes over $626K and 13.5% for homes under $470K. It does not move in a straight line; homes under $470K 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

2026-10-26T06:02:58.580399 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 50 80 40 60 60 60 80 75 50 100 Under $470K $470K–$530K $560K–$626K Over $626K

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

  • 75% of homes over $626K had a price cut before sale, against 75% of homes under $470K. Defined in 8.1.7.
  • 50% of homes over $626K had the seller pay closing costs or repairs, against 50% of homes under $470K. Defined in 8.1.8.
  • 100% of homes over $626K have a view, against 50% of homes under $470K. 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 $470K4 sales$470K–$530K5 sales$560K–$626K5 salesOver $626K4 salesAll18 sales
Net sale price average$427,775$489,705$591,174$749,364$561,830
Net price per SF average$147$184$210$188$184
Living area average3,0232,7122,8504,2863,169
Year built median19981993200619972001

3.10 The numbers: selling

Under $470K4 sales$470K–$530K5 sales$560K–$626K5 salesOver $626K4 salesAll18 sales
Days on market median16691106170103
Discount from original list average13.5%11.2%7.0%9.6%10.2%
Price cut before sale75%80%60%75%72%
Seller paid closing costs or repairs50%40%60%50%50%
Has a view50%60%80%100%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 8.3.1.

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.

2026-10-26T06:02:58.601520 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 5 5 4 18 sales Sales per group Under 2,597 SF: 4 sales (22%) 2,597–2,771 SF: 5 sales (28%) 2,908–3,488 SF: 5 sales (28%) Over 3,488 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

2026-10-26T06:02:58.622659 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,597 SF 4 sales 2,597– 2,771 SF 5 sales 2,908– 3,488 SF 5 sales Over 3,488 SF 4 sales $0K $250K $500K $750K $502K $565K $504K $690K Net sale price, average

The average is $690K for homes over 3,488 SF and $502K for homes under 2,597 SF. It does not move in a straight line; homes over 3,488 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T06:02:58.646322 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,597 SF 4 sales 2,597– 2,771 SF 5 sales 2,908– 3,488 SF 5 sales Over 3,488 SF 4 sales $0 $100 $200 $212 $211 $158 $155 Net price per SF, average

The average is $155 per SF for homes over 3,488 SF and $212 per SF for homes under 2,597 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

2026-10-26T06:02:58.670157 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,597 SF 4 sales 2,597– 2,771 SF 5 sales 2,908– 3,488 SF 5 sales Over 3,488 SF 4 sales 1992 2000 2008 2016 2005 2002 2001 1992 Year built: median (dot) and middle half (bar)

The median is 1992 for homes over 3,488 SF and 2005 for homes under 2,597 SF. It falls 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

2026-10-26T06:02:58.693040 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,597 SF 4 sales 2,597– 2,771 SF 5 sales 2,908– 3,488 SF 5 sales Over 3,488 SF 4 sales 0 100 200 300 96 106 67 291 Days on market, median

The median is 291 days for homes over 3,488 SF and 96 days for homes under 2,597 SF. It does not move in a straight line; homes over 3,488 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T06:02:58.715150 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,597 SF 4 sales 2,597– 2,771 SF 5 sales 2,908– 3,488 SF 5 sales Over 3,488 SF 4 sales 0.0% 10.0% 20.0% 9.3% 4.5% 11.3% 16.9% Discount from original list, average

The average is 16.9% for homes over 3,488 SF and 9.3% for homes under 2,597 SF. It does not move in a straight line; homes over 3,488 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

2026-10-26T06:02:58.742487 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% 100 75 50 40 20 100 60 40 40 100 75 100 Under 2,597 SF 2,597–2,771 SF 2,908–3,488 SF Over 3,488 SF

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

  • 100% of homes over 3,488 SF had a price cut before sale, against 100% of homes under 2,597 SF. Defined in 8.1.7.
  • 75% of homes over 3,488 SF had the seller pay closing costs or repairs, against 75% of homes under 2,597 SF. Defined in 8.1.8.
  • 100% of homes over 3,488 SF have a view, against 50% of homes under 2,597 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 2,597 SF4 sales2,597–2,771 SF5 sales2,908–3,488 SF5 salesOver 3,488 SF4 salesAll18 sales
Net sale price average$501,800$565,234$503,905$690,014$561,830
Net price per SF average$212$211$158$155$184
Living area average2,3642,6843,2214,5163,169
Year built median20052002200119922001

4.10 The numbers: selling

Under 2,597 SF4 sales2,597–2,771 SF5 sales2,908–3,488 SF5 salesOver 3,488 SF4 salesAll18 sales
Days on market median9610667291103
Discount from original list average9.3%4.5%11.3%16.9%10.2%
Price cut before sale100%40%60%100%72%
Seller paid closing costs or repairs75%20%40%75%50%
Has a view50%100%40%100%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 8.3.2.

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.

2026-10-26T06:02:58.763132 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 5 6 4 18 sales Sales per group Before 1992: 3 sales (17%) 1992–1993: 5 sales (28%) 2001–2006: 6 sales (33%) After 2006: 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

2026-10-26T06:02:58.784082 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 3 sales 1992– 1993 5 sales 2001– 2006 6 sales After 2006 4 sales $0K $200K $400K $600K $460K $582K $586K $576K Net sale price, average

The average is $576K for homes built after 2006 and $460K for homes built before 1992. It does not move in a straight line; homes built 2001–2006 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-10-26T06:02:58.807768 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 3 sales 1992– 1993 5 sales 2001– 2006 6 sales After 2006 4 sales $0 $100 $200 $148 $169 $193 $216 Net price per SF, average

The average is $216 per SF for homes built after 2006 and $148 per SF for homes built before 1992. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-10-26T06:02:58.829228 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 3 sales 1992– 1993 5 sales 2001– 2006 6 sales After 2006 4 sales 0 2,000 4,000 3,172 3,666 3,058 2,713 Living area (SF), average

The average is 2,713 SF for homes built after 2006 and 3,172 SF for homes built before 1992. It does not move in a straight line; homes built 1992–1993 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-10-26T06:02:58.850881 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 3 sales 1992– 1993 5 sales 2001– 2006 6 sales After 2006 4 sales 0 100 200 300 106 285 77 67 Days on market, median

The median is 67 days for homes built after 2006 and 106 days for homes built before 1992. It does not move in a straight line; homes built 1992–1993 are highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-10-26T06:02:58.874039 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1992 3 sales 1992– 1993 5 sales 2001– 2006 6 sales After 2006 4 sales 0.0% 10.0% 20.0% 15.9% 17.2% 4.8% 5.3% Discount from original list, average

The average is 5.3% for homes built after 2006 and 15.9% for homes built before 1992. It does not move in a straight line; homes built 1992–1993 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

2026-10-26T06:02:58.899386 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 0 67 100 60 80 67 50 67 50 75 75 Before 1992 1992–1993 2001–2006 After 2006

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

  • 50% of homes built after 2006 had a price cut before sale, against 67% of homes built before 1992. Defined in 8.1.7.
  • 75% of homes built after 2006 had the seller pay closing costs or repairs, against 0% of homes built before 1992. Defined in 8.1.8.
  • 75% of homes built after 2006 have a view, against 67% of homes built before 1992. 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 19923 sales1992–19935 sales2001–20066 salesAfter 20064 salesAll18 sales
Net sale price average$460,167$582,020$586,275$576,175$561,830
Net price per SF average$148$169$193$216$184
Living area average3,1723,6663,0582,7133,169
Year built median19811993200220202001

5.10 The numbers: selling

Before 19923 sales1992–19935 sales2001–20066 salesAfter 20064 salesAll18 sales
Days on market median1062857767103
Discount from original list average15.9%17.2%4.8%5.3%10.2%
Price cut before sale67%100%67%50%72%
Seller paid closing costs or repairs0%60%50%75%50%
Has a view67%80%67%75%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 8.3.3.

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

2026-10-26T06:02:58.918649 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 13 4 17 sales Sales per group View: 13 sales (76%) No view: 4 sales (24%)
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

2026-10-26T06:02:58.934506 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 4 sales $0K $200K $400K $600K $593K $506K Net sale price, average

The average is $593K for homes with a view and $506K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T06:02:58.953139 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 4 sales $0 $50 $100 $150 $200 $187 $193 Net price per SF, average

The average is $187 per SF for homes with a view and $193 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T06:02:58.971984 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 4 sales 0 1,000 2,000 3,000 3,309 2,635 Living area (SF), average

The average is 3,309 SF for homes with a view and 2,635 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T06:02:59.050180 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 4 sales 1992 1996 2000 2004 2008 2001 2004 Year built: median (dot) and middle half (bar)

The median is 2001 for homes with a view and 2004 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T06:02:59.069401 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 4 sales 0 50 100 106 96 Days on market, median

The median is 106 days for homes with a view and 96 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

2026-10-26T06:02:59.088455 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 13 sales No view 4 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.5% 9.1% Discount from original list, average

The average is 9.5% for homes with a view and 9.1% 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

2026-10-26T06:02:59.107802 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 69 46 75 75 View No view

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

  • 69% of homes with a view had a price cut before sale, against 75% of homes without a view. Defined in 8.1.7.
  • 46% of homes with a view had the seller pay closing costs or repairs, against 75% 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

View13 salesNo view4 salesAll17 sales
Net sale price average$593,302$506,131$572,791
Net price per SF average$187$193$189
Living area average3,3092,6353,150
Year built median200120042001

6.11 The numbers: selling

View13 salesNo view4 salesAll17 sales
Days on market median10696100
Discount from original list average9.5%9.1%9.4%
Price cut before sale69%75%71%
Seller paid closing costs or repairs46%75%53%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.

7. New constructionBasic statistics · 1 sales · October 26, 2025 – October 25, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 1 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Mill Creek.
MeasureAverageMedian
Sales1
Net sale price$629,000$629,000
Net price per SF$242$242
Living area (SF)2,5982,598
Days on market150150
Discount from original list3.1%3.1%
Price cut before sale0% of sales
Seller paid closing costs or repairs100% of sales
Year built2025–2025

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
18 resale sales. Average $561,830; median $545,000; standard deviation $124,726; middle half (25th–75th percentile) $471,250–$618,802; lowest $375,500, highest $797,455. 9 sales had a seller payment; their median payment was $12,000.

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 $184; median $193; standard deviation $41; middle half (25th–75th percentile) $165–$207; lowest $108, highest $254.

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 3,169; median 2,840; standard deviation 941; middle half (25th–75th percentile) 2,606–3,472; lowest 2,274, highest 6,097.

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 1999; median 2001; standard deviation 14; middle half (25th–75th percentile) 1992–2005; lowest 1969, highest 2023.

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 130; median 103; standard deviation 106; middle half (25th–75th percentile) 49–211; lowest 4, highest 316. 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 10.2%; median 8.8%; standard deviation 8.9%; middle half (25th–75th percentile) 5.6%–15.1%; lowest −7.1%, highest 29.0%. 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
13 of 18 resale sales (72.2%).

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
9 of 18 resale sales (50.0%).

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
13 sales with a view, 4 without, 1 unclassified. Most common View entries: Golf Course 7, Neighborhood 4, Trees/Woods 4, Creek/Stream 3, None 2, See Remarks 2, Panoramic 2, Water 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 = Salado, SubdivisionName contains any of “mill creek”, “mill creek springs”, “mill creek spgs”, “mill crk spgs” (case-insensitive). A record is kept when its subdivision name belongs to the Mill Creek family, the same rule comparable sales use (it includes Mill Creek Springs, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 19 closed Mill Creek records over the prior year, in ZIP 76571. 14 subdivision spellings kept, the most common: Mill Creek (4); Mill Creek Sec 14 (2); Mill Creek Sec 1 (2); Mill Creek Spgs (1); Mill Creek Spgs Ph Vii (1); Mill Creek Sec 4 (1); Mill Crk Spgs Ph X (1); Mill Creek Springs (1); Mill Creek Sec 11 (1); Mill Creek Spgs Ph Iii (1); Mill Creek Sec 3 (1); Mill Creek Spgs Ph Ii (1); and 2 more (2 records). Names found by the search but not part of Mill Creek, left out: Mill Creek Meadows (2); Mill Creek Courtyard Homes Add (1); Mill Creek Spgs Blackberry (1); Lakeside At Mill Creek (1); Mill Creek Spgs P (1); Mill Creek Courtyard Homes (1); Mill Creek Meadows Ph Ii (1); Mill Creek Meadows Phase lll (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 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
19 single-family sales in the window: 18 resale, 1 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
18 resale; 1 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
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 $470K”.
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 $470K: $375,500–$463,000 (4 sales); $470K–$530K: $470,000–$530,000 (5 sales); $560K–$626K: $560,000–$626,170 (5 sales); Over $626K: $660,000–$797,455 (4 sales)
Quartiles by living area: Under 2,597 SF: 2,274–2,500 SF (4 sales); 2,597–2,771 SF: 2,597–2,771 SF (5 sales); 2,908–3,488 SF: 2,908–3,488 SF (5 sales); Over 3,488 SF: 3,520–6,097 SF (4 sales)
Quartiles by year built: Before 1992: 1969–1986 (3 sales); 1992–1993: 1992–1993 (5 sales); 2001–2006: 2001–2006 (6 sales); After 2006: 2010–2023 (4 sales)
View and no view: View: MLS lists a view (13 sales); No view: None or Neighborhood (4 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 $561,830, median $545,000. Days on market: average 130, median 103: 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: 1 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 1 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.