ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Grandview Place

Austin, TX 78702
Resale homes · closed Nov 9 – Nov 8, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 9, 2026 · 5:56 AM CST
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
$750,000
average $791,180
Median net price per SF
$520
average $525
Median days on market
40 days
average 68 days
1. SummaryResale homes · 19 sales · November 9, 2025 – November 8, 2026

This study looks at the 19 resale homes sold in Grandview Place in the 365 days to November 8, 2026. A full year is used because only 8 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 $545K · 5 sales$545K–$750K · 5 sales$888K–$1.04M · 4 salesOver $1.04M · 5 sales
3. Quartiles by net sale priceResale homes · 19 sales · November 9, 2025 – November 8, 2026

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

2026-11-09T05:56:15.860717 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under $545K: 5 sales (26%) $545K–$750K: 5 sales (26%) $888K–$1.04M: 4 sales (21%) Over $1.04M: 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

2026-11-09T05:56:15.890746 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $545K 5 sales $545K– $750K 5 sales $888K– $1.04M 4 sales Over $1.04M 5 sales $0 $200 $400 $600 $556 $519 $520 $503 Net price per SF, average

The average is $503 per SF for homes over $1.04M and $556 per SF for homes under $545K. It does not move in a straight line; homes under $545K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-09T05:56:15.916097 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $545K 5 sales $545K– $750K 5 sales $888K– $1.04M 4 sales Over $1.04M 5 sales 0 1,000 2,000 794 1,324 1,815 2,366 Living area (SF), average

The average is 2,366 SF for homes over $1.04M and 794 SF for homes under $545K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-09T05:56:15.942340 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $545K 5 sales $545K– $750K 5 sales $888K– $1.04M 4 sales Over $1.04M 5 sales 1925 1950 1975 2000 1936 2010 2010 2015 Year built: median (dot) and middle half (bar)

The median is 2015 for homes over $1.04M and 1936 for homes under $545K. It does not move in a straight line; homes over $1.04M are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-09T05:56:15.966181 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $545K 5 sales $545K– $750K 5 sales $888K– $1.04M 4 sales Over $1.04M 5 sales 0 20 40 60 40 13 56 15 Days on market, median

The median is 15 days for homes over $1.04M and 40 days for homes under $545K. It does not move in a straight line; homes $888K–$1.04M are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-09T05:56:15.991491 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $545K 5 sales $545K– $750K 5 sales $888K– $1.04M 4 sales Over $1.04M 5 sales 0.0% 5.0% 10.0% 15.0% 14.0% 3.9% 5.3% 7.8% Discount from original list, average

The average is 7.8% for homes over $1.04M and 14.0% for homes under $545K. It does not move in a straight line; homes under $545K 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

2026-11-09T05:56:16.022295 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% 0% 0% 20% 20% 40% 50% 50% 50% 20% 40% 40% Under $545K $545K–$750K $888K–$1.04M Over $1.04M

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

  • 20% of homes over $1.04M had a price cut before sale, against 40% of homes under $545K. Defined in 8.1.7.
  • 40% of homes over $1.04M had the seller pay closing costs or repairs, against 0% of homes under $545K. Defined in 8.1.8.
  • 40% of homes over $1.04M have a view, against 0% of homes under $545K. 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 $545K5 sales$545K–$750K5 sales$888K–$1.04M4 salesOver $1.04M5 salesAll19 sales
Net sale price average$417,812$660,900$936,261$1,178,764$791,180
Net price per SF average$556$519$520$503$525
Living area average7941,3241,8152,3661,562
Year built median19362010201020152006

3.10 The numbers: selling

Under $545K5 sales$545K–$750K5 sales$888K–$1.04M4 salesOver $1.04M5 salesAll19 sales
Days on market median4013561540
Discount from original list average14.0%3.9%5.3%7.8%7.9%
Price cut before sale40%20%50%20%32%
Seller paid closing costs or repairs0%20%50%40%26%
Has a view0%40%50%40%32%

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 · November 9, 2025 – November 8, 2026

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

2026-11-09T05:56:16.046215 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under 1,056 SF: 5 sales (26%) 1,056–1,609 SF: 5 sales (26%) 1,748–2,082 SF: 4 sales (21%) Over 2,082 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

2026-11-09T05:56:16.068212 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,056 SF 5 sales 1,056– 1,609 SF 5 sales 1,748– 2,082 SF 4 sales Over 2,082 SF 5 sales $0K $500K $1.00M $465K $642K $901K $1.18M Net sale price, average

The average is $1.18M for homes over 2,082 SF and $465K for homes under 1,056 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

2026-11-09T05:56:16.094063 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,056 SF 5 sales 1,056– 1,609 SF 5 sales 1,748– 2,082 SF 4 sales Over 2,082 SF 5 sales $0 $200 $400 $600 $623 $481 $483 $503 Net price per SF, average

The average is $503 per SF for homes over 2,082 SF and $623 per SF for homes under 1,056 SF. It does not move in a straight line; homes under 1,056 SF are highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-11-09T05:56:16.120807 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,056 SF 5 sales 1,056– 1,609 SF 5 sales 1,748– 2,082 SF 4 sales Over 2,082 SF 5 sales 1925 1950 1975 2000 1936 1991 2012 2015 Year built: median (dot) and middle half (bar)

The median is 2015 for homes over 2,082 SF and 1936 for homes under 1,056 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-09T05:56:16.145504 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,056 SF 5 sales 1,056– 1,609 SF 5 sales 1,748– 2,082 SF 4 sales Over 2,082 SF 5 sales 0 50 100 150 40 6 146 15 Days on market, median

The median is 15 days for homes over 2,082 SF and 40 days for homes under 1,056 SF. It does not move in a straight line; homes 1,748–2,082 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-09T05:56:16.170948 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,056 SF 5 sales 1,056– 1,609 SF 5 sales 1,748– 2,082 SF 4 sales Over 2,082 SF 5 sales 0.0% 5.0% 10.0% 10.6% 4.5% 8.8% 7.8% Discount from original list, average

The average is 7.8% for homes over 2,082 SF and 10.6% for homes under 1,056 SF. It does not move in a straight line; homes under 1,056 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

2026-11-09T05:56:16.198440 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% 0% 20% 0% 40% 20% 75% 25% 50% 20% 40% 40% Under 1,056 SF 1,056–1,609 SF 1,748–2,082 SF Over 2,082 SF

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

  • 20% of homes over 2,082 SF had a price cut before sale, against 40% of homes under 1,056 SF. Defined in 8.1.7.
  • 40% of homes over 2,082 SF had the seller pay closing costs or repairs, against 0% of homes under 1,056 SF. Defined in 8.1.8.
  • 40% of homes over 2,082 SF have a view, against 20% of homes under 1,056 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 1,056 SF5 sales1,056–1,609 SF5 sales1,748–2,082 SF4 salesOver 2,082 SF5 salesAll19 sales
Net sale price average$464,750$642,282$900,861$1,178,764$791,180
Net price per SF average$623$481$483$503$525
Living area average7531,3171,8752,3661,562
Year built median19361991201220152006

4.10 The numbers: selling

Under 1,056 SF5 sales1,056–1,609 SF5 sales1,748–2,082 SF4 salesOver 2,082 SF5 salesAll19 sales
Days on market median4061461540
Discount from original list average10.6%4.5%8.8%7.8%7.9%
Price cut before sale40%0%75%20%32%
Seller paid closing costs or repairs0%40%25%40%26%
Has a view20%20%50%40%32%

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

5. Quartiles by year builtResale homes · 19 sales · November 9, 2025 – November 8, 2026

Sales ranked by year built and cut into four groups, from the oldest to the newest. Homes built in the same year always stay in the same group, so group sizes can differ a little.

2026-11-09T05:56:16.220882 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Before 1936: 5 sales (26%) 1936–2006: 5 sales (26%) 2007–2015: 4 sales (21%) After 2015: 5 sales (26%)
Bottom line: too few sales to test.

5.1 Key differences

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

5.3 Net sale price: described, not tested

2026-11-09T05:56:16.242387 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1936 5 sales 1936– 2006 5 sales 2007– 2015 4 sales After 2015 5 sales $0K $500K $1.00M $711K $595K $994K $905K Net sale price, average

The average is $905K for homes built after 2015 and $711K for homes built before 1936. It does not move in a straight line; homes built 2007–2015 are highest. Defined in 8.1.1.

Not tested: too few sales.

5.4 Net price per SF: described, not tested

2026-11-09T05:56:16.265428 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1936 5 sales 1936– 2006 5 sales 2007– 2015 4 sales After 2015 5 sales $0 $200 $400 $600 $561 $538 $464 $524 Net price per SF, average

The average is $524 per SF for homes built after 2015 and $561 per SF for homes built before 1936. It does not move in a straight line; homes built before 1936 are highest. Defined in 8.1.2.

Not tested: too few sales.

5.5 Living area: described, not tested

2026-11-09T05:56:16.290711 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1936 5 sales 1936– 2006 5 sales 2007– 2015 4 sales After 2015 5 sales 0 1,000 2,000 1,293 1,142 2,139 1,790 Living area (SF), average

The average is 1,790 SF for homes built after 2015 and 1,293 SF for homes built before 1936. It does not move in a straight line; homes built 2007–2015 are highest. Defined in 8.1.3.

Not tested: too few sales.

5.6 Days on market: described, not tested

2026-11-09T05:56:16.313794 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1936 5 sales 1936– 2006 5 sales 2007– 2015 4 sales After 2015 5 sales 0 50 100 15 15 50 94 Days on market, median

The median is 94 days for homes built after 2015 and 15 days for homes built before 1936. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

5.7 Discount from original list: described, not tested

2026-11-09T05:56:16.338898 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 1936 5 sales 1936– 2006 5 sales 2007– 2015 4 sales After 2015 5 sales 0.0% 5.0% 10.0% 9.4% 8.7% 4.8% 8.1% Discount from original list, average

The average is 8.1% for homes built after 2015 and 9.4% for homes built before 1936. It does not move in a straight line; homes built before 1936 are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-09T05:56:16.365008 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% 20% 0% 20% 0% 20% 25% 75% 25% 40% 20% 80% Before 1936 1936–2006 2007–2015 After 2015

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

  • 40% of homes built after 2015 had a price cut before sale, against 40% of homes built before 1936. Defined in 8.1.7.
  • 20% of homes built after 2015 had the seller pay closing costs or repairs, against 20% of homes built before 1936. Defined in 8.1.8.
  • 80% of homes built after 2015 have a view, against 0% of homes built before 1936. Defined in 8.1.9.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
Has a view: Not tested: too few sales.

5.9 The numbers: price and size

Before 19365 sales1936–20065 sales2007–20154 salesAfter 20155 salesAll19 sales
Net sale price average$710,820$595,212$994,016$905,240$791,180
Net price per SF average$561$538$464$524$525
Living area average1,2931,1422,1391,7901,562
Year built median19301991201220182006

5.10 The numbers: selling

Before 19365 sales1936–20065 sales2007–20154 salesAfter 20155 salesAll19 sales
Days on market median1515509440
Discount from original list average9.4%8.7%4.8%8.1%7.9%
Price cut before sale40%20%25%40%32%
Seller paid closing costs or repairs20%0%75%20%26%
Has a view0%20%25%80%32%

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 · November 9, 2025 – November 8, 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.

2026-11-09T05:56:16.383663 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 13 19 sales Sales per group View: 6 sales (32%) No view: 13 sales (68%)
Bottom line: no measure differs enough between the groups to rule out chance.

6.1 Key differences

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

6.2 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.

ViewNo viewReal difference?
Net sale price$915K$734Kunclear
Net price per SF$537 per SF$519 per SFunclear
Living area1,758 SF1,472 SFunclear
Year built20171940unclear
Days on market78 days15 daysunclear
Discount from original list9.4%7.2%unclear
Price cut before sale50%23%unclear
Seller paid closing costs or repairs33%23%unclear

6.3 Net sale price: no clear difference

2026-11-09T05:56:16.404122 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 13 sales $0K $250K $500K $750K $1.00M $915K $734K Net sale price, average

The average is $915K for homes with a view and $734K for homes without a view. Defined in 8.1.1.

– No clear difference · could be chance

6.4 Net price per SF: no clear difference

2026-11-09T05:56:16.424254 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 13 sales $0 $200 $400 $600 $537 $519 Net price per SF, average

The average is $537 per SF for homes with a view and $519 per SF for homes without a view. Defined in 8.1.2.

– No clear difference · could be chance

6.5 Living area: no clear difference

2026-11-09T05:56:16.443391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 13 sales 0 500 1,000 1,500 2,000 1,758 1,472 Living area (SF), average

The average is 1,758 SF for homes with a view and 1,472 SF for homes without a view. Defined in 8.1.3.

– No clear difference · could be chance

6.6 Year built: no clear difference

2026-11-09T05:56:16.497218 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 13 sales 1940 1960 1980 2000 2020 2017 1940 Year built: median (dot) and middle half (bar)

The median is 2017 for homes with a view and 1940 for homes without a view. Defined in 8.1.4.

– No clear difference · could be chance

6.7 Days on market: no clear difference

2026-11-09T05:56:16.518035 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 13 sales 0 20 40 60 80 78 15 Days on market, median

The median is 78 days for homes with a view and 15 days for homes without a view. Defined in 8.1.5.

– No clear difference · could be chance

6.8 Discount from original list: no clear difference

2026-11-09T05:56:16.539820 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 6 sales No view 13 sales 0.0% 2.5% 5.0% 7.5% 10.0% 9.4% 7.2% Discount from original list, average

The average is 9.4% for homes with a view and 7.2% for homes without a view. Defined in 8.1.6.

– No clear difference · could be chance

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

2026-11-09T05:56:16.559322 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 50% 33% 23% 23% 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 23% of homes without a view. Defined in 8.1.7.
  • 33% of homes with a view had the seller pay closing costs or repairs, against 23% of homes without a view. Defined in 8.1.8.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance

6.10 The numbers: price and size

View6 salesNo view13 salesAll19 salesReal difference?
Net sale price average$915,354$733,870$791,180unclear
Net price per SF average$537$519$525unclear
Living area average1,7581,4721,562unclear
Year built median201719402006unclear

6.11 The numbers: selling

View6 salesNo view13 salesAll19 salesReal difference?
Days on market median781540unclear
Discount from original list average9.4%7.2%7.9%unclear
Price cut before sale50%23%32%unclear
Seller paid closing costs or repairs33%23%26%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 8.3.4.

7. New constructionBasic statistics · 0 sales · November 9, 2025 – November 8, 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 Grandview Place.

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 $791,180; median $750,000; standard deviation $310,664; middle half (25th–75th percentile) $534,000–$1,053,000; lowest $310,309, highest $1,323,200. 5 sales had a seller payment; their median payment was $8,055.

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 $525; median $520; standard deviation $108; middle half (25th–75th percentile) $455–$586; lowest $288, highest $730.

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 1,562; median 1,609; standard deviation 657; middle half (25th–75th percentile) 964–2,112; lowest 624, highest 2,686.

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 1981; median 2006; standard deviation 41; middle half (25th–75th percentile) 1933–2016; lowest 1918, highest 2024.

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 68; median 40; standard deviation 82; middle half (25th–75th percentile) 7–96; lowest 3, highest 271. 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 7.9%; median 6.0%; standard deviation 8.9%; middle half (25th–75th percentile) 0.4%–13.4%; lowest −2.6%, highest 30.7%. 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 19 resale sales (31.6%).

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
5 of 19 resale sales (26.3%).

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
6 sales with a view, 13 without, 0 unclassified. Most common View entries: None 9, Neighborhood 7, Downtown 3, City 3, Panoramic 3, Trees/Woods 2, Park/Greenbelt 1, City Lights 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
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-09 11:45 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “grandview place” (case-insensitive). A record is kept when its subdivision name belongs to the Grandview Place family, the same rule comparable sales use.
The data
Pulled November 9, 2026: 19 closed Grandview Place records over the prior year, in ZIP 78702. 2 subdivision spellings kept: Grandview Place (18); GRANDVIEW PLACE (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 8 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 9, 2025 to November 8, 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 $545K”.
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 $545K: $310,309–$523,000 (5 sales); $545K–$750K: $545,000–$750,000 (5 sales); $888K–$1.04M: $887,500–$1,045,000 (4 sales); Over $1.04M: $1,061,000–$1,323,200 (5 sales)
Quartiles by living area: Under 1,056 SF: 624–871 SF (5 sales); 1,056–1,609 SF: 1,056–1,609 SF (5 sales); 1,748–2,082 SF: 1,748–2,082 SF (4 sales); Over 2,082 SF: 2,143–2,686 SF (5 sales)
Quartiles by year built: Before 1936: 1918–1930 (5 sales); 1936–2006: 1936–2006 (5 sales); 2007–2015: 2007–2015 (4 sales); After 2015: 2017–2024 (5 sales)
View and no view: View: MLS lists a view (6 sales); No view: None or Neighborhood (13 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 $791,180, median $750,000. Days on market: average 68, median 40: 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
View and no view: 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 Quartiles by year built

Too few sales in a group to test.

8.3.4 View and no view

MeasureTestStatisticdfp-valueThresholdReal difference?Effect sizeSize
Net sale priceMann–Whitney UU = 52.00—0.2727p < 0.0063Unclearrank-biserial r = 0.333medium
Net price per SFMann–Whitney UU = 46.00—0.5789p < 0.0063Unclearrank-biserial r = 0.179small
Living areaMann–Whitney UU = 49.00—0.4155p < 0.0063Unclearrank-biserial r = 0.256small
Year builtMann–Whitney UU = 68.00—0.0122p < 0.0063Unclearrank-biserial r = 0.744large
Days on marketMann–Whitney UU = 50.50—0.3338p < 0.0063Unclearrank-biserial r = 0.295small
Discount from original listMann–Whitney UU = 41.50—0.8607p < 0.0063Unclearrank-biserial r = 0.064negligible
Price cut before saleChi-squareχ² = 1.3810.2406p < 0.0063UnclearCramér’s V = 0.269small
Seller paid closing costs or repairsChi-squareχ² = 0.2210.6370p < 0.0063UnclearCramér’s V = 0.108small

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 November 9, 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.