ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Anthem

Kyle, TX 78640
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 7:21 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
13
single-family resale homes
Median net sale price
$428,060
average $411,801
Median net price per SF
$179
average $179
Median days on market
94 days
average 130 days
1. SummaryResale homes · 13 sales · October 26, 2025 – October 25, 2026

This study looks at the 13 resale homes sold in Anthem 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 sold13 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 $354K · 3 sales$354K–$425K · 3 sales$428K–$443K · 4 salesOver $443K · 3 sales
3. Quartiles by net sale priceResale homes · 13 sales · October 26, 2025 – October 25, 2026

Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.

2026-10-26T07:21:11.793219 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 4 3 13 sales Sales per group Under $354K: 3 sales (23%) $354K–$425K: 3 sales (23%) $428K–$443K: 4 sales (31%) Over $443K: 3 sales (23%)
Bottom line: too few sales to test.

3.1 Key differences

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

How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.

3.3 Net price per SF: described, not tested

2026-10-26T07:21:11.820315 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $354K 3 sales $354K– $425K 3 sales $428K– $443K 4 sales Over $443K 3 sales $0 $100 $200 $190 $185 $164 $181 Net price per SF, average

The average is $181 per SF for homes over $443K and $190 per SF for homes under $354K. It does not move in a straight line; homes under $354K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T07:21:11.841729 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $354K 3 sales $354K– $425K 3 sales $428K– $443K 4 sales Over $443K 3 sales 0 1,000 2,000 3,000 1,700 2,056 2,669 2,849 Living area (SF), average

The average is 2,849 SF for homes over $443K and 1,700 SF for homes under $354K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T07:21:11.863178 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $354K 3 sales $354K– $425K 3 sales $428K– $443K 4 sales Over $443K 3 sales 2023 2024 2023 2023 2023 2024 Year built: median (dot) and middle half (bar)

The median is 2024 for homes over $443K and 2023 for homes under $354K. 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

2026-10-26T07:21:11.884455 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $354K 3 sales $354K– $425K 3 sales $428K– $443K 4 sales Over $443K 3 sales 0 100 200 193 64 182 27 Days on market, median

The median is 27 days for homes over $443K and 193 days for homes under $354K. It does not move in a straight line; homes under $354K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T07:21:11.905506 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $354K 3 sales $354K– $425K 3 sales $428K– $443K 4 sales Over $443K 3 sales 0.0% 5.0% 10.0% 15.0% 16.2% 6.7% 9.2% 8.8% Discount from original list, average

The average is 8.8% for homes over $443K and 16.2% for homes under $354K. It does not move in a straight line; homes under $354K 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

2026-10-26T07:21:11.934701 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 33 33 67 67 33 75 75 0 67 67 33 Under $354K $354K–$425K $428K–$443K Over $443K

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

  • 67% of homes over $443K had a price cut before sale, against 100% of homes under $354K. Defined in 8.1.7.
  • 67% of homes over $443K had the seller pay closing costs or repairs, against 33% of homes under $354K. Defined in 8.1.8.
  • 33% of homes over $443K have a view, against 33% of homes under $354K. 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 $354K3 sales$354K–$425K3 sales$428K–$443K4 salesOver $443K3 salesAll13 sales
Net sale price average$319,768$378,800$434,615$506,417$411,801
Net price per SF average$190$185$164$181$179
Living area average1,7002,0562,6692,8492,345
Year built median20232023202320242023

3.10 The numbers: selling

Under $354K3 sales$354K–$425K3 sales$428K–$443K4 salesOver $443K3 salesAll13 sales
Days on market median193641822794
Discount from original list average16.2%6.7%9.2%8.8%10.1%
Price cut before sale100%67%75%67%77%
Seller paid closing costs or repairs33%67%75%67%62%
Has a view33%33%0%33%23%

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 · 13 sales · October 26, 2025 – October 25, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.

2026-10-26T07:21:11.954402 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 4 3 13 sales Sales per group Under 1,911 SF: 3 sales (23%) 1,911–2,170 SF: 3 sales (23%) 2,358–2,560 SF: 4 sales (31%) Over 2,560 SF: 3 sales (23%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-10-26T07:21:11.974642 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,911 SF 3 sales 1,911– 2,170 SF 3 sales 2,358– 2,560 SF 4 sales Over 2,560 SF 3 sales $0K $200K $400K $330K $368K $454K $480K Net sale price, average

The average is $480K for homes over 2,560 SF and $330K for homes under 1,911 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T07:21:11.996705 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,911 SF 3 sales 1,911– 2,170 SF 3 sales 2,358– 2,560 SF 4 sales Over 2,560 SF 3 sales $0 $100 $200 $198 $177 $184 $154 Net price per SF, average

The average is $154 per SF for homes over 2,560 SF and $198 per SF for homes under 1,911 SF. It does not move in a straight line; homes under 1,911 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T07:21:12.017631 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,911 SF 3 sales 1,911– 2,170 SF 3 sales 2,358– 2,560 SF 4 sales Over 2,560 SF 3 sales 2023 2024 2023 2023 2024 2023 Year built: median (dot) and middle half (bar)

The median is 2023 for homes over 2,560 SF and 2023 for homes under 1,911 SF. It does not move in a straight line; homes 2,358–2,560 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T07:21:12.039108 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,911 SF 3 sales 1,911– 2,170 SF 3 sales 2,358– 2,560 SF 4 sales Over 2,560 SF 3 sales 0 50 100 95 64 60 103 Days on market, median

The median is 103 days for homes over 2,560 SF and 95 days for homes under 1,911 SF. It does not move in a straight line; homes over 2,560 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T07:21:12.060477 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,911 SF 3 sales 1,911– 2,170 SF 3 sales 2,358– 2,560 SF 4 sales Over 2,560 SF 3 sales 0.0% 5.0% 10.0% 15.0% 10.2% 12.7% 8.5% 9.7% Discount from original list, average

The average is 9.7% for homes over 2,560 SF and 10.2% for homes under 1,911 SF. It does not move in a straight line; homes 1,911–2,170 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

2026-10-26T07:21:12.085813 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 67 33 67 33 33 75 50 0 67 100 33 Under 1,911 SF 1,911–2,170 SF 2,358–2,560 SF Over 2,560 SF

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

  • 67% of homes over 2,560 SF had a price cut before sale, against 100% of homes under 1,911 SF. Defined in 8.1.7.
  • 100% of homes over 2,560 SF had the seller pay closing costs or repairs, against 67% of homes under 1,911 SF. Defined in 8.1.8.
  • 33% of homes over 2,560 SF have a view, against 33% of homes under 1,911 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 1,911 SF3 sales1,911–2,170 SF3 sales2,358–2,560 SF4 salesOver 2,560 SF3 salesAll13 sales
Net sale price average$330,300$368,268$454,325$480,137$411,801
Net price per SF average$198$177$184$154$179
Living area average1,6802,0762,4663,1192,345
Year built median20232023202420232023

4.10 The numbers: selling

Under 1,911 SF3 sales1,911–2,170 SF3 sales2,358–2,560 SF4 salesOver 2,560 SF3 salesAll13 sales
Days on market median95646010394
Discount from original list average10.2%12.7%8.5%9.7%10.1%
Price cut before sale100%67%75%67%77%
Seller paid closing costs or repairs67%33%50%100%62%
Has a view33%33%0%33%23%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.

5. Groups by year builtResale homes · 13 sales · October 26, 2025 – October 25, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little. Only 2 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T07:21:12.103464 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 8 5 13 sales Sales per group Before 2024: 8 sales (62%) After 2023: 5 sales (38%)
Bottom line: no measure differs enough between the groups to rule out chance.

5.1 Key differences

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

5.2 At a glance

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

Before 2024After 2023Real difference?
Net sale price$392K$443Kunclear
Net price per SF$174 per SF$186 per SFunclear
Living area2,280 SF2,449 SFunclear
Days on market148 days35 daysunclear
Discount from original list11.2%8.4%unclear
Price cut before sale75%80%unclear
Seller paid closing costs or repairs88%20%unclear
Has a view0%60%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:21:12.119400 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2024 8 sales After 2023 5 sales $0K $200K $400K $392K $443K Net sale price, average

The average is $443K for homes built after 2023 and $392K for homes built before 2024. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:21:12.137154 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2024 8 sales After 2023 5 sales $0 $50 $100 $150 $200 $174 $186 Net price per SF, average

The average is $186 per SF for homes built after 2023 and $174 per SF for homes built before 2024. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T07:21:12.155644 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2024 8 sales After 2023 5 sales 0 1,000 2,000 2,280 2,449 Living area (SF), average

The average is 2,449 SF for homes built after 2023 and 2,280 SF for homes built before 2024. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T07:21:12.172165 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2024 8 sales After 2023 5 sales 0 50 100 150 148 35 Days on market, median

The median is 35 days for homes built after 2023 and 148 days for homes built before 2024. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:21:12.190739 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2024 8 sales After 2023 5 sales 0.0% 5.0% 10.0% 11.2% 8.4% Discount from original list, average

The average is 8.4% for homes built after 2023 and 11.2% for homes built before 2024. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T07:21:12.212973 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 88 0 80 20 60 Before 2024 After 2023

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

  • 80% of homes built after 2023 had a price cut before sale, against 75% of homes built before 2024. Defined in 8.1.7.
  • 20% of homes built after 2023 had the seller pay closing costs or repairs, against 88% of homes built before 2024. Defined in 8.1.8.
  • 60% of homes built after 2023 have a view, against 0% of homes built before 2024. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance

5.9 The numbers: price and size

Before 20248 salesAfter 20235 salesAll13 salesReal difference?
Net sale price average$392,383$442,870$411,801unclear
Net price per SF average$174$186$179unclear
Living area average2,2802,4492,345unclear
Year built median202320242023by design

5.10 The numbers: selling

Before 20248 salesAfter 20235 salesAll13 salesReal difference?
Days on market median1483594unclear
Discount from original list average11.2%8.4%10.1%unclear
Price cut before sale75%80%77%unclear
Seller paid closing costs or repairs88%20%62%unclear
Has a view0%60%23%unclear

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.3.

6. View and no viewResale homes · 13 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.

2026-10-26T07:21:12.228843 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 9 12 sales Sales per group View: 3 sales (25%) No view: 9 sales (75%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T07:21:12.244780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales $0K $200K $400K $436K $410K Net sale price, average

The average is $436K for homes with a view and $410K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T07:21:12.263911 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales $0 $50 $100 $150 $200 $190 $173 Net price per SF, average

The average is $190 per SF for homes with a view and $173 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T07:21:12.282709 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 0 1,000 2,000 2,417 2,377 Living area (SF), average

The average is 2,417 SF for homes with a view and 2,377 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T07:21:12.299164 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 2023 2024 2024 2023 Year built: median (dot) and middle half (bar)

The median is 2024 for homes with a view and 2023 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T07:21:12.340554 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 0 25 50 75 100 35 103 Days on market, median

The median is 35 days for homes with a view and 103 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T07:21:12.358785 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 9 sales 0.0% 5.0% 10.0% 7.8% 11.7% Discount from original list, average

The average is 7.8% for homes with a view and 11.7% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

6.9 How often: price cut before sale, seller paid closing costs or repairs

2026-10-26T07:21:12.376562 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 67 33 78 67 View No view

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

  • 67% of homes with a view had a price cut before sale, against 78% 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 67% 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 view9 salesAll12 sales
Net sale price average$436,450$409,630$416,335
Net price per SF average$190$173$178
Living area average2,4172,3772,387
Year built median202420232023

6.11 The numbers: selling

View3 salesNo view9 salesAll12 sales
Days on market median3510394
Discount from original list average7.8%11.7%10.7%
Price cut before sale67%78%75%
Seller paid closing costs or repairs33%67%58%

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 · 64 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: 64 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 Anthem.
MeasureAverageMedian
Sales64
Net sale price$372,938$364,354
Net price per SF$167$166
Living area (SF)2,2432,170
Days on market167127
Discount from original list10.5%10.3%
Price cut before sale80% of sales
Seller paid closing costs or repairs88% of sales
Year built2022–2026

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
13 resale sales. Average $411,801; median $428,060; standard deviation $74,717; middle half (25th–75th percentile) $354,000–$443,000; lowest $315,000, highest $569,350. 8 sales had a seller payment; their median payment was $8,300.

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
13 resale sales. Average $179; median $179; standard deviation $20; middle half (25th–75th percentile) $165–$193; lowest $149, highest $217.

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
13 resale sales. Average 2,345; median 2,358; standard deviation 573; middle half (25th–75th percentile) 1,911–2,560; lowest 1,452, highest 3,628.

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
13 resale sales. Average 2023; median 2023; standard deviation 1; middle half (25th–75th percentile) 2023–2024; lowest 2022, highest 2025.

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
13 resale sales. Average 130; median 94; standard deviation 124; middle half (25th–75th percentile) 35–193; lowest 15, highest 439. 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
13 resale sales. Average 10.1%; median 9.9%; standard deviation 5.9%; middle half (25th–75th percentile) 5.6%–14.4%; lowest 3.1%, highest 21.5%. 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
10 of 13 resale sales (76.9%).

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
8 of 13 resale sales (61.5%).

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, 9 without, 1 unclassified. Most common View entries: None 7, Neighborhood 2, Park/Greenbelt 2, Hill Country 1, See Remarks 1, Trees/Woods 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 = Kyle, SubdivisionName contains any of “anthem” (case-insensitive). A record is kept when its subdivision name belongs to the Anthem family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 77 closed Anthem records over the prior year, in ZIP 78640. 6 subdivision spellings kept: Anthem (61); Anthem Ph 3 (8); Anthem Ph 2 (3); Anthem Ph 1-A (3); Anthem Ph 1-B (1); Anthem Ph 4A (1). Names found by the search but not part of Anthem, left out: Anthem Cottages Condo (8).

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
77 single-family sales in the window: 13 resale, 64 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
13 resale; 64 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 $354K”.
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 $354K: $315,000–$325,805 (3 sales); $354K–$425K: $354,000–$425,000 (3 sales); $428K–$443K: $428,060–$443,000 (4 sales); Over $443K: $470,000–$569,350 (3 sales)
Quartiles by living area: Under 1,911 SF: 1,452–1,850 SF (3 sales); 1,911–2,170 SF: 1,911–2,170 SF (3 sales); 2,358–2,560 SF: 2,358–2,560 SF (4 sales); Over 2,560 SF: 2,847–3,628 SF (3 sales)
Groups by year built: Before 2024: 2022–2023 (8 sales); After 2023: 2024–2025 (5 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (9 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 $411,801, median $428,060. Days on market: average 130, median 94: 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
Groups by year built: m = 8, threshold p < 0.0063

8.2.11 Size of a difference

In simple terms
A difference can be real but small. The size word (small, medium, large) says how much the groups pull apart.
Statistically
ε² for Kruskal–Wallis, rank-biserial r for Mann–Whitney, Cramér's V for chi-square, with the thresholds above; below the small threshold the size is “negligible”.
The data
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 Groups by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 15.00—0.5237p < 0.0063Unclearrank-biserial r = 0.250small
Net price per SFMann–Whitney UU = 12.00—0.2844p < 0.0063Unclearrank-biserial r = 0.400medium
Living areaMann–Whitney UU = 17.00—0.7242p < 0.0063Unclearrank-biserial r = 0.150small
Days on marketMann–Whitney UU = 31.00—0.1274p < 0.0063Unclearrank-biserial r = 0.550large
Discount from original listMann–Whitney UU = 25.00—0.5237p < 0.0063Unclearrank-biserial r = 0.250small
Price cut before saleChi-squareχ² = 0.0410.8351p < 0.0063UnclearCramér’s V = 0.058negligible
Seller paid closing costs or repairsChi-squareχ² = 5.9210.0149p < 0.0063UnclearCramér’s V = 0.675large
Has a viewChi-squareχ² = 6.2410.0125p < 0.0063UnclearCramér’s V = 0.693large

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 64 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 13 closed MLS resale sales; the 64 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.