ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Springdale Hills

Austin, TX 78723 · 78721
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 · 4:22 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
16
single-family resale homes
Median net sale price
$462,010
average $407,403
Median net price per SF
$263
average $247
Median days on market
74 days
average 102 days
1. SummaryResale homes · 16 sales · October 26, 2025 – October 25, 2026

This study looks at the 16 resale homes sold in Springdale Hills in the 365 days to October 25, 2026. A full year is used because only 10 resale homes sold in the last 180 days. New construction is left out and shown on its own in section 7. The homes are compared four ways: by price, by living area, by year built and with or without a view. The first three are split into four equal groups (quartiles), each named by its range.

Each comparison has its own section (3–6) with everything about it in one place: the key differences, a table of every measure at a glance, the charts and the numbers.

2. Where the resale homes sold16 resale homes · colored by price range

Each dot is one resale home, colored by its price range. Use the buttons to show one price range at a time. Click a dot for that sale: address, close date, original and last list price, net sale price, living area, net sale per SF and days on market. Scroll or pinch to zoom.

Under $281K · 4 sales$281K–$460K · 4 sales$465K–$494K · 4 salesOver $494K · 4 sales
3. Quartiles by net sale priceResale homes · 16 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:22:20.397780 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 4 4 16 sales Sales per group Under $281K: 4 sales (25%) $281K–$460K: 4 sales (25%) $465K–$494K: 4 sales (25%) Over $494K: 4 sales (25%)
Bottom line: too few sales to test.

3.1 Key differences

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

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

3.3 Net price per SF: described, not tested

2026-10-26T04:22:20.425732 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $281K 4 sales $281K– $460K 4 sales $465K– $494K 4 sales Over $494K 4 sales $0 $100 $200 $300 $156 $246 $270 $317 Net price per SF, average

The average is $317 per SF for homes over $494K and $156 per SF for homes under $281K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T04:22:20.447940 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $281K 4 sales $281K– $460K 4 sales $465K– $494K 4 sales Over $494K 4 sales 0 1,000 2,000 1,534 1,647 1,769 1,716 Living area (SF), average

The average is 1,716 SF for homes over $494K and 1,534 SF for homes under $281K. It does not move in a straight line; homes $465K–$494K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T04:22:20.471684 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $281K 4 sales $281K– $460K 4 sales $465K– $494K 4 sales Over $494K 4 sales 1965 1970 1975 1980 1964 1972 1969 1966 Year built: median (dot) and middle half (bar)

The median is 1966 for homes over $494K and 1964 for homes under $281K. It does not move in a straight line; homes $281K–$460K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T04:22:20.494038 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $281K 4 sales $281K– $460K 4 sales $465K– $494K 4 sales Over $494K 4 sales 0 50 100 150 76 135 43 28 Days on market, median

The median is 28 days for homes over $494K and 76 days for homes under $281K. It does not move in a straight line; homes $281K–$460K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T04:22:20.515730 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $281K 4 sales $281K– $460K 4 sales $465K– $494K 4 sales Over $494K 4 sales 0.0% 10.0% 20.0% 24.9% 15.3% 4.0% 2.3% Discount from original list, average

The average is 2.3% for homes over $494K and 24.9% for homes under $281K. It falls step by step from the lowest range to the 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

2026-10-26T04:22:20.544784 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% 25 25 0 75 50 25 50 100 25 0 75 0 Under $281K $281K–$460K $465K–$494K Over $494K

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

  • 0% of homes over $494K had a price cut before sale, against 25% of homes under $281K. Defined in 8.1.7.
  • 75% of homes over $494K had the seller pay closing costs or repairs, against 25% of homes under $281K. Defined in 8.1.8.
  • 0% of homes over $494K have a view, against 0% of homes under $281K. 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 $281K4 sales$281K–$460K4 sales$465K–$494K4 salesOver $494K4 salesAll16 sales
Net sale price average$224,730$398,375$476,755$529,750$407,403
Net price per SF average$156$246$270$317$247
Living area average1,5341,6471,7691,7161,667
Year built median19641972196919661967

3.10 The numbers: selling

Under $281K4 sales$281K–$460K4 sales$465K–$494K4 salesOver $494K4 salesAll16 sales
Days on market median76135432874
Discount from original list average24.9%15.3%4.0%2.3%11.6%
Price cut before sale25%75%50%0%38%
Seller paid closing costs or repairs25%50%100%75%62%
Has a view0%25%25%0%12%

Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.

4. Quartiles by living areaResale homes · 16 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:22:20.564800 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 4 4 4 16 sales Sales per group Under 1,510 SF: 4 sales (25%) 1,510–1,678 SF: 4 sales (25%) 1,700–1,890 SF: 4 sales (25%) Over 1,890 SF: 4 sales (25%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-10-26T04:22:20.585037 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,510 SF 4 sales 1,510– 1,678 SF 4 sales 1,700– 1,890 SF 4 sales Over 1,890 SF 4 sales $0K $200K $400K $344K $475K $365K $446K Net sale price, average

The average is $446K for homes over 1,890 SF and $344K for homes under 1,510 SF. It does not move in a straight line; homes 1,510–1,678 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T04:22:20.606722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,510 SF 4 sales 1,510– 1,678 SF 4 sales 1,700– 1,890 SF 4 sales Over 1,890 SF 4 sales $0 $100 $200 $300 $265 $295 $204 $226 Net price per SF, average

The average is $226 per SF for homes over 1,890 SF and $265 per SF for homes under 1,510 SF. It does not move in a straight line; homes 1,510–1,678 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T04:22:20.629959 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,510 SF 4 sales 1,510– 1,678 SF 4 sales 1,700– 1,890 SF 4 sales Over 1,890 SF 4 sales 1965 1970 1975 1980 1964 1971 1966 1966 Year built: median (dot) and middle half (bar)

The median is 1966 for homes over 1,890 SF and 1964 for homes under 1,510 SF. It does not move in a straight line; homes 1,510–1,678 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T04:22:20.652350 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,510 SF 4 sales 1,510– 1,678 SF 4 sales 1,700– 1,890 SF 4 sales Over 1,890 SF 4 sales 0 50 100 109 43 82 74 Days on market, median

The median is 74 days for homes over 1,890 SF and 109 days for homes under 1,510 SF. It does not move in a straight line; homes under 1,510 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T04:22:20.673462 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,510 SF 4 sales 1,510– 1,678 SF 4 sales 1,700– 1,890 SF 4 sales Over 1,890 SF 4 sales 0.0% 10.0% 20.0% 19.7% 2.8% 16.3% 7.7% Discount from original list, average

The average is 7.7% for homes over 1,890 SF and 19.7% for homes under 1,510 SF. It does not move in a straight line; homes under 1,510 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

2026-10-26T04:22:20.698962 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% 25 75 0 50 50 25 50 50 25 25 75 0 Under 1,510 SF 1,510–1,678 SF 1,700–1,890 SF Over 1,890 SF

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

  • 25% of homes over 1,890 SF had a price cut before sale, against 25% of homes under 1,510 SF. Defined in 8.1.7.
  • 75% of homes over 1,890 SF had the seller pay closing costs or repairs, against 75% of homes under 1,510 SF. Defined in 8.1.8.
  • 0% of homes over 1,890 SF have a view, against 0% of homes under 1,510 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 1,510 SF4 sales1,510–1,678 SF4 sales1,700–1,890 SF4 salesOver 1,890 SF4 salesAll16 sales
Net sale price average$343,980$475,255$364,625$445,750$407,403
Net price per SF average$265$295$204$226$247
Living area average1,2731,6201,8061,9661,667
Year built median19641971196619661967

4.10 The numbers: selling

Under 1,510 SF4 sales1,510–1,678 SF4 sales1,700–1,890 SF4 salesOver 1,890 SF4 salesAll16 sales
Days on market median10943827474
Discount from original list average19.7%2.8%16.3%7.7%11.6%
Price cut before sale25%50%50%25%38%
Seller paid closing costs or repairs75%50%50%75%62%
Has a view0%25%25%0%12%

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

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

2026-10-26T04:22:20.717453 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 6 16 sales Sales per group Before 1965: 5 sales (31%) 1965–1967: 5 sales (31%) After 1967: 6 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 19651965–1967After 1967Real difference?
Net sale price$329K$458K$431Kunclear
Net price per SF$231 per SF$255 per SF$256 per SFunclear
Living area1,452 SF1,834 SF1,706 SFunclear
Days on market88 days65 days68 daysunclear
Discount from original list20.0%5.9%9.4%unclear
Price cut before sale40%20%50%unclear
Seller paid closing costs or repairs60%60%67%unclear
Has a view20%0%17%unclear

5.3 Net sale price: no clear difference

2026-10-26T04:22:20.735850 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1965 5 sales 1965– 1967 5 sales After 1967 6 sales $0K $200K $400K $329K $458K $431K Net sale price, average

The average is $431K for homes built after 1967 and $329K for homes built before 1965. It does not move in a straight line; homes built 1965–1967 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T04:22:20.755625 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1965 5 sales 1965– 1967 5 sales After 1967 6 sales $0 $100 $200 $300 $231 $255 $256 Net price per SF, average

The average is $256 per SF for homes built after 1967 and $231 per SF for homes built before 1965. 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

2026-10-26T04:22:20.774637 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1965 5 sales 1965– 1967 5 sales After 1967 6 sales 0 1,000 2,000 1,452 1,834 1,706 Living area (SF), average

The average is 1,706 SF for homes built after 1967 and 1,452 SF for homes built before 1965. It does not move in a straight line; homes built 1965–1967 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T04:22:20.793678 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1965 5 sales 1965– 1967 5 sales After 1967 6 sales 0 50 100 88 65 68 Days on market, median

The median is 68 days for homes built after 1967 and 88 days for homes built before 1965. It does not move in a straight line; homes built before 1965 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T04:22:20.813441 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1965 5 sales 1965– 1967 5 sales After 1967 6 sales 0.0% 10.0% 20.0% 20.0% 5.9% 9.4% Discount from original list, average

The average is 9.4% for homes built after 1967 and 20.0% for homes built before 1965. It does not move in a straight line; homes built before 1965 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

2026-10-26T04:22:20.835651 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 20 60 0 50 67 17 Before 1965 1965–1967 After 1967

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

  • 50% of homes built after 1967 had a price cut before sale, against 40% of homes built before 1965. Defined in 8.1.7.
  • 67% of homes built after 1967 had the seller pay closing costs or repairs, against 60% of homes built before 1965. Defined in 8.1.8.
  • 17% of homes built after 1967 have a view, against 20% of homes built before 1965. 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 19655 sales1965–19675 salesAfter 19676 salesAll16 salesReal difference?
Net sale price average$328,684$457,600$431,170$407,403unclear
Net price per SF average$231$255$256$247unclear
Living area average1,4521,8341,7061,667unclear
Year built median1964196719711967by design

5.10 The numbers: selling

Before 19655 sales1965–19675 salesAfter 19676 salesAll16 salesReal difference?
Days on market median88656874unclear
Discount from original list average20.0%5.9%9.4%11.6%unclear
Price cut before sale40%20%50%38%unclear
Seller paid closing costs or repairs60%60%67%62%unclear
Has a view20%0%17%12%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 · 16 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T04:22:20.852511 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 2 14 16 sales Sales per group View: 2 sales (12%) No view: 14 sales (88%)
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

2026-10-26T04:22:20.868896 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 14 sales $0K $200K $400K $462K $400K Net sale price, average

The average is $462K for homes with a view and $400K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T04:22:20.885521 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 14 sales $0 $100 $200 $300 $274 $244 Net price per SF, average

The average is $274 per SF for homes with a view and $244 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T04:22:20.903462 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 14 sales 0 500 1,000 1,500 2,000 1,689 1,663 Living area (SF), average

The average is 1,689 SF for homes with a view and 1,663 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T04:22:20.965858 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 14 sales 1964 1966 1968 1970 1968 1967 Year built: median (dot) and middle half (bar)

The median is 1968 for homes with a view and 1967 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T04:22:20.985101 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 14 sales 0 25 50 75 100 98 74 Days on market, median

The median is 98 days for homes with a view and 74 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

2026-10-26T04:22:21.003027 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 2 sales No view 14 sales 0.0% 5.0% 10.0% 8.2% 12.1% Discount from original list, average

The average is 8.2% for homes with a view and 12.1% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T04:22:21.021882 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50 100 36 57 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 36% 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 57% 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 view14 salesAll16 sales
Net sale price average$462,010$399,602$407,403
Net price per SF average$274$244$247
Living area average1,6891,6631,667
Year built median196819671967

6.11 The numbers: selling

View2 salesNo view14 salesAll16 sales
Days on market median987474
Discount from original list average8.2%12.1%11.6%
Price cut before sale50%36%38%
Seller paid closing costs or repairs100%57%62%

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

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

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

Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Springdale Hills.
MeasureAverageMedian
Sales1
Net sale price$799,000$799,000
Net price per SF$355$355
Living area (SF)2,2512,251
Days on market3232
Discount from original list3.2%3.2%
Price cut before sale100% of sales
Seller paid closing costs or repairs0% of sales
Year built2026–2026

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
16 resale sales. Average $407,403; median $462,010; standard deviation $126,883; middle half (25th–75th percentile) $279,730–$500,500; lowest $150,000, highest $545,000. 10 sales had a seller payment; their median payment was $10,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
16 resale sales. Average $247; median $263; standard deviation $78; middle half (25th–75th percentile) $228–$278; lowest $121, highest $379.

8.1.3 Living area

In simple terms
The heated and cooled space, as listed in the MLS. Garages and porches are not counted.
Statistically
RESO LivingArea, in square feet. Sales under 400 SF are treated as entry errors and left out.
The data
16 resale sales. Average 1,667; median 1,689; standard deviation 280; middle half (25th–75th percentile) 1,488–1,902; lowest 1,088, highest 2,004.

8.1.4 Year built

In simple terms
The year the home was finished, as listed in the MLS. It shows whether a group leans to older or newer phases of the community.
Statistically
RESO YearBuilt; summarized by the median, with the 25th–75th percentile (middle half) on the charts.
The data
16 resale sales. Average 1970; median 1967; standard deviation 12; middle half (25th–75th percentile) 1964–1971; lowest 1963, highest 2013.

8.1.5 Days on market

In simple terms
How many days the home was on the market before the buyer's offer was accepted, counting any earlier listing periods (relists). This is the days on market agents and clients quote.
Statistically
CDOM = max(CumulativeDaysOnMarket, DaysOnMarket, PurchaseContractDate − ListingContractDate). The MLS counter can freeze at a price change, so the contract-date gap is a floor. Summarized by the median, because a few homes that sat for months pull an average up.
The data
16 resale sales. Average 102; median 74; standard deviation 136; middle half (25th–75th percentile) 34–97; lowest 14, highest 586. 0 sales went under contract on their listing date (0 days).

8.1.6 Discount from original list

In simple terms
How far below the first asking price the home sold, after seller payments. It measures how much negotiating room sellers gave up. A negative figure means the home sold above its first asking price.
Statistically
Discount % = (OriginalListPrice − Net) ÷ OriginalListPrice × 100, per sale; summarized by the mean.
The data
16 resale sales. Average 11.6%; median 5.9%; standard deviation 14.8%; middle half (25th–75th percentile) 4.7%–14.2%; lowest −1.7%, highest 57.1%. 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
6 of 16 resale sales (37.5%).

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
10 of 16 resale sales (62.5%).

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
2 sales with a view, 14 without, 0 unclassified. Most common View entries: None 11, Neighborhood 3, Trees/Woods 1, Garden 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 “springdale hills” (case-insensitive). A record is kept when its subdivision name belongs to the Springdale Hills family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 17 closed Springdale Hills records over the prior year, in ZIP 78723, 78721. 4 subdivision spellings kept: Springdale Hills (10); Springdale Hills Sec 04 (4); Springdale Hills Sec 02 (2); Springdale Hills Sec 03 (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
17 single-family sales in the window: 16 resale, 1 new construction.

8.2.3 Resale and new construction

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

8.2.4 Sales left out

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

8.2.5 Quartiles and groups

In simple terms
Sales lined up from lowest to highest and cut into four groups of about equal size. Each group is named by its range, for example “Under $281K”.
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 $281K: $150,000–$275,922 (4 sales); $281K–$460K: $281,000–$459,500 (4 sales); $465K–$494K: $464,520–$494,000 (4 sales); Over $494K: $520,000–$545,000 (4 sales)
Quartiles by living area: Under 1,510 SF: 1,088–1,421 SF (4 sales); 1,510–1,678 SF: 1,510–1,678 SF (4 sales); 1,700–1,890 SF: 1,700–1,890 SF (4 sales); Over 1,890 SF: 1,938–2,004 SF (4 sales)
Groups by year built: Before 1965: 1963–1964 (5 sales); 1965–1967: 1965–1967 (5 sales); After 1967: 1971–2013 (6 sales)
View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (14 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 $407,403, median $462,010. Days on market: average 102, median 74: 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 priceKruskal–WallisH = 3.1120.2116p < 0.0063Unclearε² = 0.207large
Net price per SFKruskal–WallisH = 0.6520.7236p < 0.0063Unclearε² = 0.043small
Living areaKruskal–WallisH = 3.9820.1365p < 0.0063Unclearε² = 0.265large
Days on marketKruskal–WallisH = 1.5420.4641p < 0.0063Unclearε² = 0.102medium
Discount from original listKruskal–WallisH = 3.7620.1528p < 0.0063Unclearε² = 0.250large
Price cut before saleChi-squareχ² = 1.0720.5866p < 0.0063UnclearCramér’s V = 0.258small
Seller paid closing costs or repairsChi-squareχ² = 0.0720.9651p < 0.0063UnclearCramér’s V = 0.067negligible
Has a viewChi-squareχ² = 1.0720.5866p < 0.0063UnclearCramér’s V = 0.258small

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 1 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.

8.5 References

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

This is a market study of closed sales, not an appraisal or an opinion of value for any home. The analysis covers 16 closed MLS resale sales; the 1 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled October 26, 2026. Map data © OpenStreetMap contributors. ALEX Companies · Licensed by the Texas Real Estate Commission · Broker: Alexander Tiffany Southwest, LLC (ALEX Real Estate), #565194-BB · Diane Hart Alexander, Designated Broker, #574877-B.