ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Steeplechase

Kyle, TX 78640 · 78610
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 · 5:13 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
19
single-family resale homes
Median net sale price
$240,000
average $250,973
Median net price per SF
$143
average $154
Median days on market
26 days
average 53 days
1. SummaryResale homes · 19 sales · October 26, 2025 – October 25, 2026

This study looks at the 19 resale homes sold in Steeplechase in the 365 days to October 25, 2026. A full year is used because only 13 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 sold19 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 $230K · 5 sales$230K–$240K · 5 sales$244K–$268K · 4 salesOver $268K · 5 sales
3. Quartiles by net sale priceResale homes · 19 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.

2026-10-26T05:13:52.992760 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under $230K: 5 sales (26%) $230K–$240K: 5 sales (26%) $244K–$268K: 4 sales (21%) Over $268K: 5 sales (26%)
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

2026-10-26T05:13:53.024172 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $230K 5 sales $230K– $240K 5 sales $244K– $268K 4 sales Over $268K 5 sales $0 $100 $200 $148 $161 $181 $130 Net price per SF, average

The average is $130 per SF for homes over $268K and $148 per SF for homes under $230K. It does not move in a straight line; homes $244K–$268K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T05:13:53.050375 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $230K 5 sales $230K– $240K 5 sales $244K– $268K 4 sales Over $268K 5 sales 0 1,000 2,000 1,420 1,551 1,405 2,427 Living area (SF), average

The average is 2,427 SF for homes over $268K and 1,420 SF for homes under $230K. It does not move in a straight line; homes over $268K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T05:13:53.076384 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $230K 5 sales $230K– $240K 5 sales $244K– $268K 4 sales Over $268K 5 sales 1998 1999 2000 2000 2000 1999 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over $268K and 2000 for homes under $230K. It does not move in a straight line; homes under $230K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T05:13:53.102933 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $230K 5 sales $230K– $240K 5 sales $244K– $268K 4 sales Over $268K 5 sales 0 25 50 75 78 19 4 37 Days on market, median

The median is 37 days for homes over $268K and 78 days for homes under $230K. It does not move in a straight line; homes under $230K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T05:13:53.127210 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $230K 5 sales $230K– $240K 5 sales $244K– $268K 4 sales Over $268K 5 sales 0.0% 10.0% 20.0% 19.7% 5.4% 2.5% 7.4% Discount from original list, average

The average is 7.4% for homes over $268K and 19.7% for homes under $230K. It does not move in a straight line; homes under $230K 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

2026-10-26T05:13:53.160263 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% 80 40 0 0 80 0 0 50 25 80 100 20 Under $230K $230K–$240K $244K–$268K Over $268K

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

  • 80% of homes over $268K had a price cut before sale, against 80% of homes under $230K. Defined in 8.1.7.
  • 100% of homes over $268K had the seller pay closing costs or repairs, against 40% of homes under $230K. Defined in 8.1.8.
  • 20% of homes over $268K have a view, against 0% of homes under $230K. 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 $230K5 sales$230K–$240K5 sales$244K–$268K4 salesOver $268K5 salesAll19 sales
Net sale price average$203,720$235,482$250,625$313,996$250,973
Net price per SF average$148$161$181$130$154
Living area average1,4201,5511,4052,4271,716
Year built median20002000199920002000

3.10 The numbers: selling

Under $230K5 sales$230K–$240K5 sales$244K–$268K4 salesOver $268K5 salesAll19 sales
Days on market median781943726
Discount from original list average19.7%5.4%2.5%7.4%9.1%
Price cut before sale80%0%0%80%42%
Seller paid closing costs or repairs40%80%50%100%68%
Has a view0%0%25%20%11%

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 · 19 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.

2026-10-26T05:13:53.184375 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under 1,343 SF: 5 sales (26%) 1,343–1,668 SF: 5 sales (26%) 1,670–2,270 SF: 4 sales (21%) Over 2,270 SF: 5 sales (26%)
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

2026-10-26T05:13:53.207165 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,343 SF 5 sales 1,343– 1,668 SF 5 sales 1,670– 2,270 SF 4 sales Over 2,270 SF 5 sales $0K $100K $200K $300K $219K $235K $248K $301K Net sale price, average

The average is $301K for homes over 2,270 SF and $219K for homes under 1,343 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

2026-10-26T05:13:53.233508 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,343 SF 5 sales 1,343– 1,668 SF 5 sales 1,670– 2,270 SF 4 sales Over 2,270 SF 5 sales $0 $100 $200 $191 $161 $135 $124 Net price per SF, average

The average is $124 per SF for homes over 2,270 SF and $191 per SF for homes under 1,343 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T05:13:53.258208 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,343 SF 5 sales 1,343– 1,668 SF 5 sales 1,670– 2,270 SF 4 sales Over 2,270 SF 5 sales 1998 1999 2000 1999 2000 2000 2000 Year built: median (dot) and middle half (bar)

The median is 2000 for homes over 2,270 SF and 1999 for homes under 1,343 SF. It does not move in a straight line; homes 1,343–1,668 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T05:13:53.285035 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,343 SF 5 sales 1,343– 1,668 SF 5 sales 1,670– 2,270 SF 4 sales Over 2,270 SF 5 sales 0 25 50 75 65 77 14 37 Days on market, median

The median is 37 days for homes over 2,270 SF and 65 days for homes under 1,343 SF. It does not move in a straight line; homes 1,343–1,668 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T05:13:53.309527 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,343 SF 5 sales 1,343– 1,668 SF 5 sales 1,670– 2,270 SF 4 sales Over 2,270 SF 5 sales 0.0% 5.0% 10.0% 10.3% 8.9% 11.0% 6.5% Discount from original list, average

The average is 6.5% for homes over 2,270 SF and 10.3% for homes under 1,343 SF. It does not move in a straight line; homes 1,670–2,270 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

2026-10-26T05:13:53.338897 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs Has a view 0% 25% 50% 75% 100% 40 60 20 40 80 0 25 50 25 60 80 0 Under 1,343 SF 1,343–1,668 SF 1,670–2,270 SF Over 2,270 SF

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

  • 60% of homes over 2,270 SF had a price cut before sale, against 40% of homes under 1,343 SF. Defined in 8.1.7.
  • 80% of homes over 2,270 SF had the seller pay closing costs or repairs, against 60% of homes under 1,343 SF. Defined in 8.1.8.
  • 0% of homes over 2,270 SF have a view, against 20% of homes under 1,343 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 1,343 SF5 sales1,343–1,668 SF5 sales1,670–2,270 SF4 salesOver 2,270 SF5 salesAll19 sales
Net sale price average$218,800$235,222$247,725$301,496$250,973
Net price per SF average$191$161$135$124$154
Living area average1,1451,4761,8382,4311,716
Year built median19992000200020002000

4.10 The numbers: selling

Under 1,343 SF5 sales1,343–1,668 SF5 sales1,670–2,270 SF4 salesOver 2,270 SF5 salesAll19 sales
Days on market median6577143726
Discount from original list average10.3%8.9%11.0%6.5%9.1%
Price cut before sale40%40%25%60%42%
Seller paid closing costs or repairs60%80%50%80%68%
Has a view20%0%25%0%11%

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 · 19 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.

2026-10-26T05:13:53.358848 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 7 12 19 sales Sales per group Before 2000: 7 sales (37%) After 1999: 12 sales (63%)
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 2000After 1999Real difference?
Net sale price$248K$252Kunclear
Net price per SF$162 per SF$149 per SFunclear
Living area1,585 SF1,793 SFunclear
Days on market25 days47 daysunclear
Discount from original list8.4%9.5%unclear
Price cut before sale43%42%unclear
Seller paid closing costs or repairs86%58%unclear
Has a view29%0%unclear

5.3 Net sale price: no clear difference

2026-10-26T05:13:53.376543 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 7 sales After 1999 12 sales $0K $100K $200K $300K $248K $252K Net sale price, average

The average is $252K for homes built after 1999 and $248K for homes built before 2000. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T05:13:53.396672 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 7 sales After 1999 12 sales $0 $50 $100 $150 $162 $149 Net price per SF, average

The average is $149 per SF for homes built after 1999 and $162 per SF for homes built before 2000. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T05:13:53.419280 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 7 sales After 1999 12 sales 0 500 1,000 1,500 2,000 1,585 1,793 Living area (SF), average

The average is 1,793 SF for homes built after 1999 and 1,585 SF for homes built before 2000. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T05:13:53.439349 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 7 sales After 1999 12 sales 0 20 40 25 47 Days on market, median

The median is 47 days for homes built after 1999 and 25 days for homes built before 2000. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T05:13:53.460052 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2000 7 sales After 1999 12 sales 0.0% 2.5% 5.0% 7.5% 10.0% 8.4% 9.5% Discount from original list, average

The average is 9.5% for homes built after 1999 and 8.4% for homes built before 2000. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T05:13:53.485616 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% 43 86 29 42 58 0 Before 2000 After 1999

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

  • 42% of homes built after 1999 had a price cut before sale, against 43% of homes built before 2000. Defined in 8.1.7.
  • 58% of homes built after 1999 had the seller pay closing costs or repairs, against 86% of homes built before 2000. Defined in 8.1.8.
  • 0% of homes built after 1999 have a view, against 29% of homes built before 2000. 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 20007 salesAfter 199912 salesAll19 salesReal difference?
Net sale price average$248,486$252,424$250,973unclear
Net price per SF average$162$149$154unclear
Living area average1,5851,7931,716unclear
Year built median199820002000by design

5.10 The numbers: selling

Before 20007 salesAfter 199912 salesAll19 salesReal difference?
Days on market median254726unclear
Discount from original list average8.4%9.5%9.1%unclear
Price cut before sale43%42%42%unclear
Seller paid closing costs or repairs86%58%68%unclear
Has a view29%0%11%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 · 19 sales · October 26, 2025 – October 25, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood.

2026-10-26T05:13:53.504644 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 17 19 sales Sales per group View: 2 sales (11%) No view: 17 sales (89%)
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

2026-10-26T05:13:53.522432 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales $0K $100K $200K $300K $274K $248K Net sale price, average

The average is $274K for homes with a view and $248K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T05:13:53.543833 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales $0 $50 $100 $150 $158 $153 Net price per SF, average

The average is $158 per SF for homes with a view and $153 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T05:13:53.563653 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 0 500 1,000 1,500 2,000 1,800 1,706 Living area (SF), average

The average is 1,800 SF for homes with a view and 1,706 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T05:13:53.586269 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales −1 0 +2e3 1998 2000 Year built: median (dot) and middle half (bar)

The median is 1998 for homes with a view and 2000 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T05:13:53.708335 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 0 10 20 30 40 14 37 Days on market, median

The median is 14 days for homes with a view and 37 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

2026-10-26T05:13:53.730408 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 17 sales 0.0% 2.5% 5.0% 7.5% 10.0% 4.8% 9.6% Discount from original list, average

The average is 4.8% 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

2026-10-26T05:13:53.752632 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 100 41 65 View No view

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

  • 50% of homes with a view had a price cut before sale, against 41% of homes without a view. Defined in 8.1.7.
  • 100% of homes with a view had the seller pay closing costs or repairs, against 65% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View2 salesNo view17 salesAll19 sales
Net sale price average$273,500$248,323$250,973
Net price per SF average$158$153$154
Living area average1,8001,7061,716
Year built median199820002000

6.11 The numbers: selling

View2 salesNo view17 salesAll19 sales
Days on market median143726
Discount from original list average4.8%9.6%9.1%
Price cut before sale50%41%42%
Seller paid closing costs or repairs100%65%68%

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

7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026

Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Steeplechase.

No new-construction sales were reported in ABOR MLS in this window.

Same definitions as the rest of the study (section 8). New construction = NewConstructionYN true, or PropertyCondition “New Construction” or “Under Construction”.

8. AppendixMeasures, methods and tests

Each measure and method three ways: in plain words, as statistics, and with the data from this study.

8.1 Measures

8.1.1 Net sale price

In simple terms
What the seller actually kept: the closing price, less money the seller gave back to the buyer for closing costs or repairs. It is the truest price for comparing homes.
Statistically
Net = ClosePrice − ACTRIS_BuyersClsgCostPdbySell − ACTRIS_RepairsAmount (a blank counts as $0). Summarized by the arithmetic mean in the slices.
The data
19 resale sales. Average $250,973; median $240,000; standard deviation $47,230; middle half (25th–75th percentile) $227,255–$270,250; lowest $146,000, highest $338,805. 13 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
19 resale sales. Average $154; median $143; standard deviation $33; middle half (25th–75th percentile) $134–$179; lowest $105, highest $218.

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
19 resale sales. Average 1,716; median 1,668; standard deviation 536; middle half (25th–75th percentile) 1,337–2,281; lowest 1,009, highest 2,852.

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
19 resale sales. Average 1999; median 2000; standard deviation 1; middle half (25th–75th percentile) 1998–2000; lowest 1997, highest 2001.

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
19 resale sales. Average 53; median 26; standard deviation 67; middle half (25th–75th percentile) 11–71; lowest 3, highest 288. 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
19 resale sales. Average 9.1%; median 6.0%; standard deviation 7.7%; middle half (25th–75th percentile) 3.3%–12.8%; lowest −1.1%, highest 25.5%. 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
8 of 19 resale sales (42.1%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
13 of 19 resale sales (68.4%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
2 sales with a view, 17 without, 0 unclassified. Most common View entries: None 16, Neighborhood 2, Park/Greenbelt 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 = Kyle, SubdivisionName contains any of “steeplechase”, “steeplechase sub”, “steeple chase” (case-insensitive). A record is kept when its subdivision name belongs to the Steeplechase family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 19 closed Steeplechase records over the prior year, in ZIP 78640, 78610. 13 subdivision spellings kept, the most common: Steeplechase Sub Ph Iii Sec 3 (3); Steeplechase Sub Ph I (2); STEEPLECHASE (2); Steeplechase Sub Ph Ii (2); Steeplechase Sub Ph Iii Sec 2-B (2); Steeplechase Sub Ph III Sec 3 (1); Steeplechase Sub Ph Iii Sec 4 (1); STEEPLECHASE PHASE III (1); Steeplechase Sub Ph Iii Sec 6 (1); Steeplechase Sub Ph II (1); Steeplechase Sub Ph Iii Sec 1 (1); Steeple Chase Ph 03 Sec 03 (1); and 1 more (1 records). Names found by the search but not part of Steeplechase, left out: The Park At Steeplechase (2).

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 13 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: 19 resale, 0 new construction.

8.2.3 Resale and new construction

In simple terms
A resale home was previously owned. New construction is sold by the builder and behaves differently, so it is kept out of every analysis and reported once on its own.
Statistically
New construction = NewConstructionYN true, or PropertyCondition contains “New Construction” or “Under Construction”. Everything else is resale.
The data
19 resale; 0 new construction.

8.2.4 Sales left out

In simple terms
A few records cannot be used as entered and are left out before any analysis.
Statistically
Excluded: PropertySubType other than Single Family Residence; no OriginalListPrice; LivingArea under 400 SF; seller payments above 10% of ClosePrice (treated as entry errors).
The data
None in this window.

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $230K”.
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 $230K: $146,000–$225,000 (5 sales); $230K–$240K: $229,510–$240,000 (5 sales); $244K–$268K: $244,000–$268,000 (4 sales); Over $268K: $272,500–$338,805 (5 sales)
Quartiles by living area: Under 1,343 SF: 1,009–1,331 SF (5 sales); 1,343–1,668 SF: 1,343–1,668 SF (5 sales); 1,670–2,270 SF: 1,670–2,270 SF (4 sales); Over 2,270 SF: 2,292–2,852 SF (5 sales)
Groups by year built: Before 2000: 1997–1999 (7 sales); After 1999: 2000–2001 (12 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (17 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 $250,973, median $240,000. Days on market: average 53, median 26: 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 = 45.00—0.8369p < 0.0063Unclearrank-biserial r = 0.071negligible
Net price per SFMann–Whitney UU = 54.00—0.3402p < 0.0063Unclearrank-biserial r = 0.286small
Living areaMann–Whitney UU = 30.00—0.3309p < 0.0063Unclearrank-biserial r = 0.286small
Days on marketMann–Whitney UU = 36.00—0.6418p < 0.0063Unclearrank-biserial r = 0.143small
Discount from original listMann–Whitney UU = 36.00—0.6504p < 0.0063Unclearrank-biserial r = 0.143small
Price cut before saleChi-squareχ² = 0.0010.9596p < 0.0063UnclearCramér’s V = 0.012negligible
Seller paid closing costs or repairsChi-squareχ² = 1.5310.2155p < 0.0063UnclearCramér’s V = 0.284small
Has a viewChi-squareχ² = 3.8310.0503p < 0.0063UnclearCramér’s V = 0.449medium

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

  1. Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
  2. Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
  3. Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
  4. Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
  5. Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
  6. Mann, H. B., & Whitney, D. R. (1947). On a test of whether one of two random variables is stochastically larger than the other. Annals of Mathematical Statistics, 18(1), 50–60.
  7. Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
  8. Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 19 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.