ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Davis Spring

Austin, TX 78717
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 · 4:12 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
20
single-family resale homes
Median net sale price
$688,875
average $666,014
Median net price per SF
$224
average $224
Median days on market
55 days
average 79 days
1. SummaryResale homes · 20 sales · October 26, 2025 – October 25, 2026

This study looks at the 20 resale homes sold in Davis Spring 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 sold20 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 $566K · 5 sales$566K–$688K · 5 sales$690K–$738K · 5 salesOver $738K · 5 sales
3. Quartiles by net sale priceResale homes · 20 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.

2026-10-26T04:13:20.639158 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under $566K: 5 sales (25%) $566K–$688K: 5 sales (25%) $690K–$738K: 5 sales (25%) Over $738K: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

3.1 Key differences

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

3.2 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.

Under $566K$566K–$688K$690K–$738KOver $738KReal difference?
Net price per SF$199 per SF$215 per SF$234 per SF$247 per SFunclear
Living area2,536 SF3,028 SF3,069 SF3,328 SFunclear
Year built1996200019981999unclear
Days on market93 days89 days35 days48 daysunclear
Discount from original list12.5%10.5%5.4%5.5%unclear
Price cut before sale80%60%60%80%unclear
Seller paid closing costs or repairs80%100%60%40%unclear
Has a view0%0%40%40%unclear

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: no clear difference

2026-10-26T04:13:20.719700 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $566K 5 sales $566K– $688K 5 sales $690K– $738K 5 sales Over $738K 5 sales $0 $100 $200 $199 $215 $234 $247 Net price per SF, average

The average is $247 per SF for homes over $738K and $199 per SF for homes under $566K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

3.4 Living area: no clear difference

2026-10-26T04:13:20.783936 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $566K 5 sales $566K– $688K 5 sales $690K– $738K 5 sales Over $738K 5 sales 0 1,000 2,000 3,000 2,536 3,028 3,069 3,328 Living area (SF), average

The average is 3,328 SF for homes over $738K and 2,536 SF for homes under $566K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

– No clear difference · could be chance

3.5 Year built: no clear difference

2026-10-26T04:13:20.854705 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $566K 5 sales $566K– $688K 5 sales $690K– $738K 5 sales Over $738K 5 sales 1996 1998 2000 1996 2000 1998 1999 Year built: median (dot) and middle half (bar)

The median is 1999 for homes over $738K and 1996 for homes under $566K. It does not move in a straight line; homes $566K–$688K are highest. Defined in 8.1.4.

– No clear difference · could be chance

3.6 Days on market: no clear difference

2026-10-26T04:13:20.911586 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $566K 5 sales $566K– $688K 5 sales $690K– $738K 5 sales Over $738K 5 sales 0 50 100 93 89 35 48 Days on market, median

The median is 48 days for homes over $738K and 93 days for homes under $566K. It does not move in a straight line; homes under $566K are highest. Defined in 8.1.5.

– No clear difference · could be chance

3.7 Discount from original list: no clear difference

2026-10-26T04:13:20.937746 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $566K 5 sales $566K– $688K 5 sales $690K– $738K 5 sales Over $738K 5 sales 0.0% 5.0% 10.0% 15.0% 12.5% 10.5% 5.4% 5.5% Discount from original list, average

The average is 5.5% for homes over $738K and 12.5% for homes under $566K. It does not move in a straight line; homes under $566K are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:13:20.978728 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 80 0 60 100 0 60 60 40 80 40 40 Under $566K $566K–$688K $690K–$738K Over $738K

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

  • 80% of homes over $738K had a price cut before sale, against 80% of homes under $566K. Defined in 8.1.7.
  • 40% of homes over $738K had the seller pay closing costs or repairs, against 80% of homes under $566K. Defined in 8.1.8.
  • 40% of homes over $738K have a view, against 0% of homes under $566K. 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

3.9 The numbers: price and size

Under $566K5 sales$566K–$688K5 sales$690K–$738K5 salesOver $738K5 salesAll20 salesReal difference?
Net sale price average$496,885$642,677$707,290$817,204$666,014by design
Net price per SF average$199$215$234$247$224unclear
Living area average2,5363,0283,0693,3282,990unclear
Year built median19962000199819991998unclear

3.10 The numbers: selling

Under $566K5 sales$566K–$688K5 sales$690K–$738K5 salesOver $738K5 salesAll20 salesReal difference?
Days on market median9389354855unclear
Discount from original list average12.5%10.5%5.4%5.5%8.5%unclear
Price cut before sale80%60%60%80%70%unclear
Seller paid closing costs or repairs80%100%60%40%70%unclear
Has a view0%0%40%40%20%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 8.3.1.

4. Quartiles by living areaResale homes · 20 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.

2026-10-26T04:13:21.001924 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 5 5 20 sales Sales per group Under 2,715 SF: 5 sales (25%) 2,715–3,013 SF: 5 sales (25%) 3,049–3,195 SF: 5 sales (25%) Over 3,195 SF: 5 sales (25%)
Bottom line: no measure differs enough between the groups to rule out chance.

4.1 Key differences

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

4.2 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.

Under 2,715 SF2,715–3,013 SF3,049–3,195 SFOver 3,195 SFReal difference?
Net sale price$566K$648K$700K$751Kunclear
Net price per SF$239 per SF$223 per SF$222 per SF$211 per SFunclear
Year built1997199819991998unclear
Days on market89 days50 days89 days3 daysunclear
Discount from original list7.6%8.0%12.7%5.6%unclear
Price cut before sale80%80%80%40%unclear
Seller paid closing costs or repairs80%40%80%80%unclear
Has a view0%20%20%40%unclear

4.3 Net sale price: no clear difference

2026-10-26T04:13:21.025882 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,715 SF 5 sales 2,715– 3,013 SF 5 sales 3,049– 3,195 SF 5 sales Over 3,195 SF 5 sales $0K $250K $500K $750K $566K $648K $700K $751K Net sale price, average

The average is $751K for homes over 3,195 SF and $566K for homes under 2,715 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

4.4 Net price per SF: no clear difference

2026-10-26T04:13:21.052678 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,715 SF 5 sales 2,715– 3,013 SF 5 sales 3,049– 3,195 SF 5 sales Over 3,195 SF 5 sales $0 $100 $200 $239 $223 $222 $211 Net price per SF, average

The average is $211 per SF for homes over 3,195 SF and $239 per SF for homes under 2,715 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

4.5 Year built: no clear difference

2026-10-26T04:13:21.078387 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,715 SF 5 sales 2,715– 3,013 SF 5 sales 3,049– 3,195 SF 5 sales Over 3,195 SF 5 sales 1996 1998 2000 1997 1998 1999 1998 Year built: median (dot) and middle half (bar)

The median is 1998 for homes over 3,195 SF and 1997 for homes under 2,715 SF. It does not move in a straight line; homes 3,049–3,195 SF are highest. Defined in 8.1.4.

– No clear difference · could be chance

4.6 Days on market: no clear difference

2026-10-26T04:13:21.104232 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,715 SF 5 sales 2,715– 3,013 SF 5 sales 3,049– 3,195 SF 5 sales Over 3,195 SF 5 sales 0 50 100 89 50 89 3 Days on market, median

The median is 3 days for homes over 3,195 SF and 89 days for homes under 2,715 SF. It does not move in a straight line; homes under 2,715 SF are highest. Defined in 8.1.5.

– No clear difference · could be chance

4.7 Discount from original list: no clear difference

2026-10-26T04:13:21.128479 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 2,715 SF 5 sales 2,715– 3,013 SF 5 sales 3,049– 3,195 SF 5 sales Over 3,195 SF 5 sales 0.0% 5.0% 10.0% 15.0% 7.6% 8.0% 12.7% 5.6% Discount from original list, average

The average is 5.6% for homes over 3,195 SF and 7.6% for homes under 2,715 SF. It does not move in a straight line; homes 3,049–3,195 SF are highest. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-10-26T04:13:21.158570 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 80 0 80 40 20 80 80 20 40 80 40 Under 2,715 SF 2,715–3,013 SF 3,049–3,195 SF Over 3,195 SF

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

  • 40% of homes over 3,195 SF had a price cut before sale, against 80% of homes under 2,715 SF. Defined in 8.1.7.
  • 80% of homes over 3,195 SF had the seller pay closing costs or repairs, against 80% of homes under 2,715 SF. Defined in 8.1.8.
  • 40% of homes over 3,195 SF have a view, against 0% of homes under 2,715 SF. 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

4.9 The numbers: price and size

Under 2,715 SF5 sales2,715–3,013 SF5 sales3,049–3,195 SF5 salesOver 3,195 SF5 salesAll20 salesReal difference?
Net sale price average$565,575$647,615$699,704$751,162$666,014unclear
Net price per SF average$239$223$222$211$224unclear
Living area average2,3542,8953,1493,5622,990by design
Year built median19971998199919981998unclear

4.10 The numbers: selling

Under 2,715 SF5 sales2,715–3,013 SF5 sales3,049–3,195 SF5 salesOver 3,195 SF5 salesAll20 salesReal difference?
Days on market median895089355unclear
Discount from original list average7.6%8.0%12.7%5.6%8.5%unclear
Price cut before sale80%80%80%40%70%unclear
Seller paid closing costs or repairs80%40%80%80%70%unclear
Has a view0%20%20%40%20%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 8.3.2.

5. Groups by year builtResale homes · 20 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 3 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-10-26T04:13:21.179974 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 7 8 20 sales Sales per group Before 1997: 5 sales (25%) 1997–1998: 7 sales (35%) After 1998: 8 sales (40%)
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 19971997–1998After 1998Real difference?
Net sale price$571K$649K$740Kunclear
Net price per SF$209 per SF$210 per SF$245 per SFunclear
Living area2,755 SF3,092 SF3,048 SFunclear
Days on market77 days60 days47 daysunclear
Discount from original list9.7%10.1%6.3%unclear
Price cut before sale80%57%75%unclear
Seller paid closing costs or repairs60%86%62%unclear
Has a view0%14%38%unclear

5.3 Net sale price: no clear difference

2026-10-26T04:13:21.201038 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 5 sales 1997– 1998 7 sales After 1998 8 sales $0K $250K $500K $750K $571K $649K $740K Net sale price, average

The average is $740K for homes built after 1998 and $571K for homes built before 1997. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T04:13:21.225805 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 5 sales 1997– 1998 7 sales After 1998 8 sales $0 $100 $200 $209 $210 $245 Net price per SF, average

The average is $245 per SF for homes built after 1998 and $209 per SF for homes built before 1997. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-10-26T04:13:21.248078 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 5 sales 1997– 1998 7 sales After 1998 8 sales 0 1,000 2,000 3,000 2,755 3,092 3,048 Living area (SF), average

The average is 3,048 SF for homes built after 1998 and 2,755 SF for homes built before 1997. It does not move in a straight line; homes built 1997–1998 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T04:13:21.270662 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 5 sales 1997– 1998 7 sales After 1998 8 sales 0 25 50 75 77 60 47 Days on market, median

The median is 47 days for homes built after 1998 and 77 days for homes built before 1997. It falls step by step from the lowest range to the highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T04:13:21.294491 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1997 5 sales 1997– 1998 7 sales After 1998 8 sales 0.0% 5.0% 10.0% 9.7% 10.1% 6.3% Discount from original list, average

The average is 6.3% for homes built after 1998 and 9.7% for homes built before 1997. It does not move in a straight line; homes built 1997–1998 are highest. 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

2026-10-26T04:13:21.320486 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 60 0 57 86 14 75 62 38 Before 1997 1997–1998 After 1998

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

  • 75% of homes built after 1998 had a price cut before sale, against 80% of homes built before 1997. Defined in 8.1.7.
  • 62% of homes built after 1998 had the seller pay closing costs or repairs, against 60% of homes built before 1997. Defined in 8.1.8.
  • 38% of homes built after 1998 have a view, against 0% of homes built before 1997. 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 19975 sales1997–19987 salesAfter 19988 salesAll20 salesReal difference?
Net sale price average$571,112$648,721$740,459$666,014unclear
Net price per SF average$209$210$245$224unclear
Living area average2,7553,0923,0482,990unclear
Year built median1995199820001998by design

5.10 The numbers: selling

Before 19975 sales1997–19987 salesAfter 19988 salesAll20 salesReal difference?
Days on market median77604755unclear
Discount from original list average9.7%10.1%6.3%8.5%unclear
Price cut before sale80%57%75%70%unclear
Seller paid closing costs or repairs60%86%62%70%unclear
Has a view0%14%38%20%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 · 20 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.

2026-10-26T04:13:21.340065 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 16 20 sales Sales per group View: 4 sales (20%) No view: 16 sales (80%)
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

2026-10-26T04:13:21.360479 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales $0K $200K $400K $600K $800K $780K $638K Net sale price, average

The average is $780K for homes with a view and $638K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:13:21.381282 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales $0 $100 $200 $231 $222 Net price per SF, average

The average is $231 per SF for homes with a view and $222 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:13:21.401511 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 0 1,000 2,000 3,000 4,000 3,388 2,891 Living area (SF), average

The average is 3,388 SF for homes with a view and 2,891 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:13:21.459361 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 1996 1997 1998 1999 2000 2000 1998 Year built: median (dot) and middle half (bar)

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

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:13:21.480965 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 0 20 40 60 80 47 68 Days on market, median

The median is 47 days for homes with a view and 68 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

2026-10-26T04:13:21.502584 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 4 sales No view 16 sales 0.0% 2.5% 5.0% 7.5% 10.0% 6.4% 9.0% Discount from original list, average

The average is 6.4% for homes with a view and 9.0% 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

2026-10-26T04:13:21.526263 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 75 50 69 75 View No view

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

  • 75% of homes with a view had a price cut before sale, against 69% of homes without a view. Defined in 8.1.7.
  • 50% of homes with a view had the seller pay closing costs or repairs, against 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

View4 salesNo view16 salesAll20 sales
Net sale price average$779,738$637,583$666,014
Net price per SF average$231$222$224
Living area average3,3882,8912,990
Year built median200019981998

6.11 The numbers: selling

View4 salesNo view16 salesAll20 sales
Days on market median476855
Discount from original list average6.4%9.0%8.5%
Price cut before sale75%69%70%
Seller paid closing costs or repairs50%75%70%

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 Davis Spring.

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
20 resale sales. Average $666,014; median $688,875; standard deviation $125,161; middle half (25th–75th percentile) $555,531–$744,900; lowest $452,125, highest $920,000. 14 sales had a seller payment; their median payment was $6,500.

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
20 resale sales. Average $224; median $224; standard deviation $32; middle half (25th–75th percentile) $204–$249; lowest $165, highest $285.

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
20 resale sales. Average 2,990; median 3,031; standard deviation 475; middle half (25th–75th percentile) 2,670–3,226; lowest 2,176, highest 4,019.

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
20 resale sales. Average 1998; median 1998; standard deviation 2; middle half (25th–75th percentile) 1997–2000; lowest 1994, highest 2002.

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
20 resale sales. Average 79; median 55; standard deviation 72; middle half (25th–75th percentile) 37–97; lowest 3, highest 265. 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
20 resale sales. Average 8.5%; median 5.9%; standard deviation 8.8%; middle half (25th–75th percentile) 3.6%–13.3%; lowest −4.9%, highest 29.5%. 2 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
14 of 20 resale sales (70.0%).

8.1.8 Seller paid closing costs or repairs

In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
14 of 20 resale sales (70.0%).

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
4 sales with a view, 16 without, 0 unclassified. Most common View entries: None 13, Neighborhood 3, Park/Greenbelt 2, Trees/Woods 2, Pond 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 = Austin, SubdivisionName contains any of “davis spring” (case-insensitive). A record is kept when its subdivision name belongs to the Davis Spring family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 20 closed Davis Spring records over the prior year, in ZIP 78717. 10 subdivision spellings kept: Davis Spring Sec 03-D Amd (5); Davis Spring (4); Davis Spring Sec 03-A (2); Davis Spring Sec 05-A (2); Davis Spring Sec 06-B (2); Davis Spring Sec 03-B (1); Davis Spring Sec 06-C (1); Davis Spring Sec 03-C (1); Davis Spring Sec 06-b (1); Davis Spring Sec 06-A (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 10 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
20 single-family sales in the window: 20 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
20 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 $566K”.
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 $566K: $452,125–$523,000 (5 sales); $566K–$688K: $566,375–$687,750 (5 sales); $690K–$738K: $690,000–$738,200 (5 sales); Over $738K: $765,000–$920,000 (5 sales)
Quartiles by living area: Under 2,715 SF: 2,176–2,535 SF (5 sales); 2,715–3,013 SF: 2,715–3,013 SF (5 sales); 3,049–3,195 SF: 3,049–3,195 SF (5 sales); Over 3,195 SF: 3,320–4,019 SF (5 sales)
Groups by year built: Before 1997: 1994–1996 (5 sales); 1997–1998: 1997–1998 (7 sales); After 1998: 1999–2002 (8 sales)
View and no view: View: MLS lists a view (4 sales); No view: None or Neighborhood (16 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 $666,014, median $688,875. Days on market: average 79, median 55: 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
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; 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

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net price per SFKruskal–WallisH = 6.9530.0734p < 0.0063Unclearε² = 0.366large
Living areaKruskal–WallisH = 7.0230.0712p < 0.0063Unclearε² = 0.370large
Year builtKruskal–WallisH = 5.9130.1161p < 0.0063Unclearε² = 0.311large
Days on marketKruskal–WallisH = 3.0930.3773p < 0.0063Unclearε² = 0.163large
Discount from original listKruskal–WallisH = 1.6530.6478p < 0.0063Unclearε² = 0.087medium
Price cut before saleChi-squareχ² = 0.9530.8128p < 0.0063UnclearCramér’s V = 0.218small
Seller paid closing costs or repairsChi-squareχ² = 4.7630.1901p < 0.0063UnclearCramér’s V = 0.488medium
Has a viewChi-squareχ² = 5.0030.1718p < 0.0063UnclearCramér’s V = 0.500large

8.3.2 Quartiles by living area

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 5.7430.1248p < 0.0063Unclearε² = 0.302large
Net price per SFKruskal–WallisH = 1.8330.6075p < 0.0063Unclearε² = 0.097medium
Year builtKruskal–WallisH = 1.2430.7426p < 0.0063Unclearε² = 0.065medium
Days on marketKruskal–WallisH = 2.6430.4507p < 0.0063Unclearε² = 0.139medium
Discount from original listKruskal–WallisH = 2.9430.4005p < 0.0063Unclearε² = 0.155large
Price cut before saleChi-squareχ² = 2.8630.4142p < 0.0063UnclearCramér’s V = 0.378medium
Seller paid closing costs or repairsChi-squareχ² = 2.8630.4142p < 0.0063UnclearCramér’s V = 0.378medium
Has a viewChi-squareχ² = 2.5030.4753p < 0.0063UnclearCramér’s V = 0.354medium

8.3.3 Groups by year built

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceKruskal–WallisH = 4.3720.1124p < 0.0063Unclearε² = 0.230large
Net price per SFKruskal–WallisH = 6.4820.0391p < 0.0063Unclearε² = 0.341large
Living areaKruskal–WallisH = 2.0420.3601p < 0.0063Unclearε² = 0.108medium
Days on marketKruskal–WallisH = 1.2120.5472p < 0.0063Unclearε² = 0.063medium
Discount from original listKruskal–WallisH = 0.0320.9860p < 0.0063Unclearε² = 0.001negligible
Price cut before saleChi-squareχ² = 0.8820.6426p < 0.0063UnclearCramér’s V = 0.210small
Seller paid closing costs or repairsChi-squareχ² = 1.2820.5285p < 0.0063UnclearCramér’s V = 0.253small
Has a viewChi-squareχ² = 2.9220.2318p < 0.0063UnclearCramér’s V = 0.382medium

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 20 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.