ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Goodnight Ranch

Austin, TX 78747
Resale homes · closed Oct 26 – Oct 25, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
October 26, 2026 · 7:05 AM CDT
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
19
single-family resale homes
Median net sale price
$389,250
average $401,122
Median net price per SF
$192
average $201
Median days on market
70 days
average 67 days
1. SummaryResale homes · 19 sales · October 26, 2025 – October 25, 2026

This study looks at the 19 resale homes sold in Goodnight Ranch in the 365 days to October 25, 2026. A full year is used because only 11 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 $383K · 5 sales$383K–$389K · 5 sales$392K–$407K · 4 salesOver $407K · 5 sales
3. Quartiles by net sale priceResale homes · 19 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T07:05:23.307844 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 4 5 19 sales Sales per group Under $383K: 5 sales (26%) $383K–$389K: 5 sales (26%) $392K–$407K: 4 sales (21%) Over $407K: 5 sales (26%)
Bottom line: too few sales to test.

3.1 Key differences

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

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

3.3 Net price per SF: described, not tested

2026-10-26T07:05:23.335911 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $383K 5 sales $383K– $389K 5 sales $392K– $407K 4 sales Over $407K 5 sales $0 $100 $200 $201 $199 $212 $192 Net price per SF, average

The average is $192 per SF for homes over $407K and $201 per SF for homes under $383K. It does not move in a straight line; homes $392K–$407K are highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-10-26T07:05:23.358159 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $383K 5 sales $383K– $389K 5 sales $392K– $407K 4 sales Over $407K 5 sales 0 1,000 2,000 1,859 1,959 1,900 2,361 Living area (SF), average

The average is 2,361 SF for homes over $407K and 1,859 SF for homes under $383K. It does not move in a straight line; homes over $407K are highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-10-26T07:05:23.380208 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $383K 5 sales $383K– $389K 5 sales $392K– $407K 4 sales Over $407K 5 sales 2018 2020 2022 2018 2018 2018 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes over $407K and 2018 for homes under $383K. It does not move in a straight line; homes $392K–$407K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-10-26T07:05:23.402735 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $383K 5 sales $383K– $389K 5 sales $392K– $407K 4 sales Over $407K 5 sales 0 25 50 75 79 38 58 70 Days on market, median

The median is 70 days for homes over $407K and 79 days for homes under $383K. It does not move in a straight line; homes under $383K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-10-26T07:05:23.424566 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $383K 5 sales $383K– $389K 5 sales $392K– $407K 4 sales Over $407K 5 sales 0.0% 2.0% 4.0% 6.0% 6.1% 5.0% 4.7% 4.4% Discount from original list, average

The average is 4.4% for homes over $407K and 6.1% for homes under $383K. 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

2026-10-26T07:05:23.454331 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 20 50 75 0 60 60 40 Under $383K $383K–$389K $392K–$407K Over $407K

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

  • 60% of homes over $407K had a price cut before sale, against 80% of homes under $383K. Defined in 8.1.7.
  • 60% of homes over $407K had the seller pay closing costs or repairs, against 80% of homes under $383K. Defined in 8.1.8.
  • 40% of homes over $407K have a view, against 0% of homes under $383K. 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 $383K5 sales$383K–$389K5 sales$392K–$407K4 salesOver $407K5 salesAll19 sales
Net sale price average$371,760$385,347$398,629$448,254$401,122
Net price per SF average$201$199$212$192$201
Living area average1,8591,9591,9002,3612,026
Year built median20182018201820182018

3.10 The numbers: selling

Under $383K5 sales$383K–$389K5 sales$392K–$407K4 salesOver $407K5 salesAll19 sales
Days on market median7938587070
Discount from original list average6.1%5.0%4.7%4.4%5.1%
Price cut before sale80%60%50%60%63%
Seller paid closing costs or repairs80%100%75%60%79%
Has a view0%20%0%40%16%

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

4. Quartiles by living areaResale homes · 19 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T07:05:23.475391 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 4 6 4 5 19 sales Sales per group Under 1,896 SF: 4 sales (21%) 1,896–2,007 SF: 6 sales (32%) 2,011–2,072 SF: 4 sales (21%) Over 2,072 SF: 5 sales (26%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-10-26T07:05:23.496758 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,896 SF 4 sales 1,896– 2,007 SF 6 sales 2,011– 2,072 SF 4 sales Over 2,072 SF 5 sales $0K $200K $400K $389K $383K $390K $441K Net sale price, average

The average is $441K for homes over 2,072 SF and $389K for homes under 1,896 SF. It does not move in a straight line; homes over 2,072 SF are highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-10-26T07:05:23.519896 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,896 SF 4 sales 1,896– 2,007 SF 6 sales 2,011– 2,072 SF 4 sales Over 2,072 SF 5 sales $0 $100 $200 $238 $197 $193 $182 Net price per SF, average

The average is $182 per SF for homes over 2,072 SF and $238 per SF for homes under 1,896 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

4.5 Year built: described, not tested

2026-10-26T07:05:23.542176 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,896 SF 4 sales 1,896– 2,007 SF 6 sales 2,011– 2,072 SF 4 sales Over 2,072 SF 5 sales 2018 2020 2022 2018 2018 2018 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes over 2,072 SF and 2018 for homes under 1,896 SF. It does not move in a straight line; homes 1,896–2,007 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-10-26T07:05:23.565009 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,896 SF 4 sales 1,896– 2,007 SF 6 sales 2,011– 2,072 SF 4 sales Over 2,072 SF 5 sales 0 50 100 43 86 62 38 Days on market, median

The median is 38 days for homes over 2,072 SF and 43 days for homes under 1,896 SF. It does not move in a straight line; homes 1,896–2,007 SF are highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-10-26T07:05:23.587320 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,896 SF 4 sales 1,896– 2,007 SF 6 sales 2,011– 2,072 SF 4 sales Over 2,072 SF 5 sales 0.0% 2.0% 4.0% 6.0% 3.6% 5.4% 4.9% 6.0% Discount from original list, average

The average is 6.0% for homes over 2,072 SF and 3.6% for homes under 1,896 SF. It does not move in a straight line; homes over 2,072 SF are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T07:05:23.614322 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 25 83 83 0 50 100 25 80 60 20 Under 1,896 SF 1,896–2,007 SF 2,011–2,072 SF Over 2,072 SF

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

  • 80% of homes over 2,072 SF had a price cut before sale, against 25% of homes under 1,896 SF. Defined in 8.1.7.
  • 60% of homes over 2,072 SF had the seller pay closing costs or repairs, against 75% of homes under 1,896 SF. Defined in 8.1.8.
  • 20% of homes over 2,072 SF have a view, against 25% of homes under 1,896 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 1,896 SF4 sales1,896–2,007 SF6 sales2,011–2,072 SF4 salesOver 2,072 SF5 salesAll19 sales
Net sale price average$388,844$383,075$390,188$441,349$401,122
Net price per SF average$238$197$193$182$201
Living area average1,6421,9472,0262,4282,026
Year built median20182018201820182018

4.10 The numbers: selling

Under 1,896 SF4 sales1,896–2,007 SF6 sales2,011–2,072 SF4 salesOver 2,072 SF5 salesAll19 sales
Days on market median4386623870
Discount from original list average3.6%5.4%4.9%6.0%5.1%
Price cut before sale25%83%50%80%63%
Seller paid closing costs or repairs75%83%100%60%79%
Has a view25%0%25%20%16%

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

5. Groups by year builtResale homes · 19 sales · October 26, 2025 – October 25, 2026

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

2026-10-26T07:05:23.633455 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 8 5 19 sales Sales per group Before 2018: 6 sales (32%) 2018: 8 sales (42%) After 2018: 5 sales (26%)
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 20182018After 2018Real difference?
Net sale price$395K$389K$428Kunclear
Net price per SF$203 per SF$202 per SF$195 per SFunclear
Living area2,000 SF1,934 SF2,205 SFunclear
Days on market30 days92 days92 daysunclear
Discount from original list4.4%5.3%5.5%unclear
Price cut before sale50%62%80%unclear
Seller paid closing costs or repairs83%88%60%unclear
Has a view0%25%20%unclear

5.3 Net sale price: no clear difference

2026-10-26T07:05:23.652148 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018 8 sales After 2018 5 sales $0K $200K $400K $395K $389K $428K Net sale price, average

The average is $428K for homes built after 2018 and $395K for homes built before 2018. It does not move in a straight line; homes built after 2018 are highest. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-10-26T07:05:23.673206 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018 8 sales After 2018 5 sales $0 $50 $100 $150 $200 $203 $202 $195 Net price per SF, average

The average is $195 per SF for homes built after 2018 and $203 per SF for homes built before 2018. It falls 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

2026-10-26T07:05:23.693513 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018 8 sales After 2018 5 sales 0 1,000 2,000 2,000 1,934 2,205 Living area (SF), average

The average is 2,205 SF for homes built after 2018 and 2,000 SF for homes built before 2018. It does not move in a straight line; homes built after 2018 are highest. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-10-26T07:05:23.713722 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018 8 sales After 2018 5 sales 0 25 50 75 100 30 92 92 Days on market, median

The median is 92 days for homes built after 2018 and 30 days for homes built before 2018. It does not move in a straight line; homes built 2018 are highest. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-10-26T07:05:23.734585 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2018 6 sales 2018 8 sales After 2018 5 sales 0.0% 2.0% 4.0% 6.0% 4.4% 5.3% 5.5% Discount from original list, average

The average is 5.5% for homes built after 2018 and 4.4% for homes built before 2018. It rises step by step from the lowest range to the 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

2026-10-26T07:05:23.757826 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% 50 83 0 62 88 25 80 60 20 Before 2018 2018 After 2018

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

  • 80% of homes built after 2018 had a price cut before sale, against 50% of homes built before 2018. Defined in 8.1.7.
  • 60% of homes built after 2018 had the seller pay closing costs or repairs, against 83% of homes built before 2018. Defined in 8.1.8.
  • 20% of homes built after 2018 have a view, against 0% of homes built before 2018. 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 20186 sales20188 salesAfter 20185 salesAll19 salesReal difference?
Net sale price average$395,460$388,807$427,620$401,122unclear
Net price per SF average$203$202$195$201unclear
Living area average2,0001,9342,2052,026unclear
Year built median2017201820232018by design

5.10 The numbers: selling

Before 20186 sales20188 salesAfter 20185 salesAll19 salesReal difference?
Days on market median30929270unclear
Discount from original list average4.4%5.3%5.5%5.1%unclear
Price cut before sale50%62%80%63%unclear
Seller paid closing costs or repairs83%88%60%79%unclear
Has a view0%25%20%16%unclear

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

6. View and no viewResale homes · 19 sales · October 26, 2025 – October 25, 2026

Sales where the MLS lists a view (greenbelt or park, trees, golf course, hill country, water and similar) against those listing none or only the neighborhood. 1 sales whose MLS view entry is only “See Remarks” are left out.

2026-10-26T07:05:23.775123 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 15 18 sales Sales per group View: 3 sales (17%) No view: 15 sales (83%)
Bottom line: too few sales to test.

6.1 Key differences

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

6.3 Net sale price: described, not tested

2026-10-26T07:05:23.792643 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales $0K $100K $200K $300K $400K $414K $398K Net sale price, average

The average is $414K for homes with a view and $398K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-10-26T07:05:23.811384 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales $0 $50 $100 $150 $200 $201 $200 Net price per SF, average

The average is $201 per SF for homes with a view and $200 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-10-26T07:05:23.829960 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0 500 1,000 1,500 2,000 2,069 2,022 Living area (SF), average

The average is 2,069 SF for homes with a view and 2,022 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-10-26T07:05:23.875568 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 2017 2018 2019 2020 2018 2018 Year built: median (dot) and middle half (bar)

The median is 2018 for homes with a view and 2018 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-10-26T07:05:23.893990 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0 20 40 60 80 70 39 Days on market, median

The median is 70 days for homes with a view and 39 days for homes without a view. Defined in 8.1.5.

Not tested: too few sales.

6.8 Discount from original list: described, not tested

2026-10-26T07:05:23.911764 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 3 sales No view 15 sales 0.0% 2.0% 4.0% 6.0% 3.9% 5.3% Discount from original list, average

The average is 3.9% for homes with a view and 5.3% for homes without a view. Defined in 8.1.6.

Not tested: too few sales.

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

2026-10-26T07:05:23.930898 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 67 67 60 80 View No view

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

  • 67% of homes with a view had a price cut before sale, against 60% of homes without a view. Defined in 8.1.7.
  • 67% of homes with a view had the seller pay closing costs or repairs, against 80% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.

6.10 The numbers: price and size

View3 salesNo view15 salesAll18 sales
Net sale price average$414,000$398,155$400,796
Net price per SF average$201$200$200
Living area average2,0692,0222,030
Year built median201820182018

6.11 The numbers: selling

View3 salesNo view15 salesAll18 sales
Days on market median703954
Discount from original list average3.9%5.3%5.0%
Price cut before sale67%60%61%
Seller paid closing costs or repairs67%80%78%

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 · 20 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: 20 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 Goodnight Ranch.
MeasureAverageMedian
Sales20
Net sale price$418,035$365,869
Net price per SF$188$181
Living area (SF)2,2232,010
Days on market243109
Discount from original list14.8%13.3%
Price cut before sale90% of sales
Seller paid closing costs or repairs30% of sales
Year built2025–2026

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
19 resale sales. Average $401,122; median $389,250; standard deviation $35,554; middle half (25th–75th percentile) $382,488–$412,250; lowest $356,600, highest $510,000. 15 sales had a seller payment; their median payment was $3,000.

8.1.2 Net price per SF

In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
19 resale sales. Average $201; median $192; standard deviation $22; middle half (25th–75th percentile) $190–$203; lowest $170, highest $255.

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 2,026; median 2,007; standard deviation 314; middle half (25th–75th percentile) 1,896–2,147; lowest 1,533, highest 2,729.

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 2019; median 2018; standard deviation 2; middle half (25th–75th percentile) 2017–2019; lowest 2016, 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 67; median 70; standard deviation 52; middle half (25th–75th percentile) 20–104; lowest 3, highest 185. 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 5.1%; median 5.1%; standard deviation 4.2%; middle half (25th–75th percentile) 2.0%–8.5%; lowest −2.2%, highest 12.9%. 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
12 of 19 resale sales (63.2%).

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
15 of 19 resale sales (78.9%).

8.1.9 Has a view

In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
3 sales with a view, 15 without, 1 unclassified. Most common View entries: None 11, Neighborhood 7, See Remarks 2, Park/Greenbelt 1, Downtown 1, Trees/Woods 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
Bridge Interactive RESO Web API (OData), ABOR dataset, every field returned. Filter: StandardStatus = Closed, PropertyType = Residential, City = Austin, SubdivisionName contains any of “goodnight ranch”, “good night ranch” (case-insensitive). A record is kept when its subdivision name belongs to the Goodnight Ranch family, the same rule comparable sales use.
The data
Pulled October 26, 2026: 49 closed Goodnight Ranch records over the prior year, in ZIP 78747. 6 subdivision spellings kept: Goodnight Ranch (33); Goodnight Ranch Ph 2 East Sec (7); Goodnight Ranch Ph 1 Sec 2 (6); Goodnight Ranch Ph 1A Sec 7 (1); Goodnight Ranch Ph 1 Sec 3 (1); Good Night Ranch (1). Names found by the search but not part of Goodnight Ranch, left out: Twilight Condominiums at Goodnight Ranch (15).

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 11 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
39 single-family sales in the window: 19 resale, 20 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; 20 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
9 sale(s) other than single-family homes (condo, townhome and similar); 1 sale(s) with concessions above 10% of price

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 $383K”.
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 $383K: $356,600–$382,000 (5 sales); $383K–$389K: $382,976–$389,250 (5 sales); $392K–$407K: $391,850–$407,000 (4 sales); Over $407K: $417,500–$510,000 (5 sales)
Quartiles by living area: Under 1,896 SF: 1,533–1,894 SF (4 sales); 1,896–2,007 SF: 1,896–2,007 SF (6 sales); 2,011–2,072 SF: 2,011–2,072 SF (4 sales); Over 2,072 SF: 2,222–2,729 SF (5 sales)
Groups by year built: Before 2018: 2016–2017 (6 sales); 2018: 2018–2018 (8 sales); After 2018: 2020–2024 (5 sales)
View and no view: View: MLS lists a view (3 sales); No view: None or Neighborhood (15 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 $401,122, median $389,250. Days on market: average 67, median 70: 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 = 4.3720.1125p < 0.0063Unclearε² = 0.243large
Net price per SFKruskal–WallisH = 0.2620.8796p < 0.0063Unclearε² = 0.014small
Living areaKruskal–WallisH = 2.7820.2485p < 0.0063Unclearε² = 0.155large
Days on marketKruskal–WallisH = 4.8320.0892p < 0.0063Unclearε² = 0.269large
Discount from original listKruskal–WallisH = 0.3120.8580p < 0.0063Unclearε² = 0.017small
Price cut before saleChi-squareχ² = 1.0620.5894p < 0.0063UnclearCramér’s V = 0.236small
Seller paid closing costs or repairsChi-squareχ² = 1.5020.4720p < 0.0063UnclearCramér’s V = 0.281small
Has a viewChi-squareχ² = 1.7020.4270p < 0.0063UnclearCramér’s V = 0.299small

8.3.4 View and no view

Too few sales in a group to test.

8.4 Data notes

Left out of the analysis: 20 new-construction sales (basic statistics only, section 7); 9 sale(s) other than single-family homes (condo, townhome and similar); 1 sale(s) with concessions above 10% of price. 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 20 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.