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
39
single-family resale homes
Median net sale price
$470,000
average $498,752
Median net price per SF
$207
average $209
Median days on market
31 days
average 55 days
1. SummaryResale homes · 39 sales · October 28, 2025 – October 27, 2026
This study looks at the 39 resale homes sold in Forest Oaks in the 365 days to October 27, 2026. A full year is used because only 19 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 sold39 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.
3. Quartiles by net sale priceResale homes · 39 sales · October 28, 2025 – October 27, 2026
Sales ranked by net sale price and cut into four equal groups. This is the usual way to read a market by price.
Bottom line
Homes over $599K are about 1,540 SF (89%) larger than homes under $381K.
3.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under $381K$381K–$470K$479K–$599KOver $599K
Higher-priced homes Over $599K
Are much larger.
Lower-priced homes Under $381K
Are much smaller.
3.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under $381K
$381K–$470K
$479K–$599K
Over $599K
Real difference?
Net price per SF
$210 per SF
$201 per SF
$222 per SF
$206 per SF
unclear
Living area
1,726 SFSmallest
2,100 SF
2,543 SF
3,262 SFLargest
✓ large
Year built
2004
2002
2002
2004
unclear
Days on market
26 days
21 days
32 days
50 days
unclear
Discount from original list
5.6%
4.7%
6.5%
8.1%
unclear
Price cut before sale
70%
50%
56%
70%
unclear
Seller paid closing costs or repairs
70%
60%
89%
80%
unclear
Has a view
10%
10%
11%
50%
unclear
How to read this section. Each heading gives the finding. The gold box says whether the gap is real (✓, with its size) or could be chance (–). The section ends with its numbers; the tests are in section 8.3.
3.3 Net price per SF: no clear difference
The average is $206 per SF for homes over $599K and $210 per SF for homes under $381K. It does not move in a straight line; homes $479K–$599K are highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Homes over $599K are about 1,540 SF (89%) larger than homes under $381K
The average is 3,262 SF for homes over $599K and 1,726 SF for homes under $381K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
✓ Real difference · large
3.5 Year built: no clear difference
The median is 2004 for homes over $599K and 2004 for homes under $381K. It does not move in a straight line; homes over $599K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 50 days for homes over $599K and 26 days for homes under $381K. It does not move in a straight line; homes over $599K are highest. Defined in 8.1.5.
– No clear difference · could be chance
3.7 Discount from original list: no clear difference
The average is 8.1% for homes over $599K and 5.6% for homes under $381K. It does not move in a straight line; homes over $599K are highest. Defined in 8.1.6.
– No clear difference · could be chance
3.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
70% of homes over $599K had a price cut before sale, against 70% of homes under $381K. Defined in 8.1.7.
80% of homes over $599K had the seller pay closing costs or repairs, against 70% of homes under $381K. Defined in 8.1.8.
50% of homes over $599K have a view, against 10% of homes under $381K. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
3.9 The numbers: price and size
Under $381K10 sales
$381K–$470K10 sales
$479K–$599K9 sales
Over $599K10 sales
All39 sales
Real difference?
Net sale price average
$361,233
$418,739
$552,292
$668,098
$498,752
by design
Net price per SF average
$210
$201
$222
$206
$209
unclear
Living area average
1,726
2,100
2,543
3,262
2,404
✓ large
Year built median
2004
2002
2002
2004
2003
unclear
3.10 The numbers: selling
Under $381K10 sales
$381K–$470K10 sales
$479K–$599K9 sales
Over $599K10 sales
All39 sales
Real difference?
Days on market median
26
21
32
50
31
unclear
Discount from original list average
5.6%
4.7%
6.5%
8.1%
6.2%
unclear
Price cut before sale
70%
50%
56%
70%
62%
unclear
Seller paid closing costs or repairs
70%
60%
89%
80%
74%
unclear
Has a view
10%
10%
11%
50%
21%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.1.
4. Quartiles by living areaResale homes · 39 sales · October 28, 2025 – October 27, 2026
Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest.
Bottom line
Homes over 2,890 SF sell for about $304K (84%) more than homes under 1,794 SF.
4.1 Key differences
The top group against the bottom group. Only real differences are listed. Section 8 explains each measure.
Under 1,794 SF1,794–2,285 SF2,300–2,890 SFOver 2,890 SF
Larger homes Over 2,890 SF
Sell for much more.
Smaller homes Under 1,794 SF
Sell for much less.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 1,794 SF
1,794–2,285 SF
2,300–2,890 SF
Over 2,890 SF
Real difference?
Net sale price
$363KLowest
$432K
$537K
$667KHighest
✓ large
Net price per SF
$212 per SF
$212 per SF
$207 per SF
$205 per SF
unclear
Year built
2004
2002
2002
2005
unclear
Days on market
18 days
38 days
11 days
81 days
unclear
Discount from original list
4.6%
5.6%
6.4%
8.2%
unclear
Price cut before sale
60%
70%
33%
80%
unclear
Seller paid closing costs or repairs
70%
60%
89%
80%
unclear
Has a view
10%
10%
11%
50%
unclear
4.3 Homes over 2,890 SF sell for about $304K (84%) more than homes under 1,794 SF
The average is $667K for homes over 2,890 SF and $363K for homes under 1,794 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.
✓ Real difference · large
4.4 Net price per SF: no clear difference
The average is $205 per SF for homes over 2,890 SF and $212 per SF for homes under 1,794 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 2005 for homes over 2,890 SF and 2004 for homes under 1,794 SF. It does not move in a straight line; homes over 2,890 SF are highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 81 days for homes over 2,890 SF and 18 days for homes under 1,794 SF. It does not move in a straight line; homes over 2,890 SF are highest. Defined in 8.1.5.
– No clear difference · could be chance
4.7 Discount from original list: no clear difference
The average is 8.2% for homes over 2,890 SF and 4.6% for homes under 1,794 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.6.
– No clear difference · could be chance
4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
80% of homes over 2,890 SF had a price cut before sale, against 60% of homes under 1,794 SF. Defined in 8.1.7.
80% of homes over 2,890 SF had the seller pay closing costs or repairs, against 70% of homes under 1,794 SF. Defined in 8.1.8.
50% of homes over 2,890 SF have a view, against 10% of homes under 1,794 SF. Defined in 8.1.9.
Price cut before sale: – No clear difference · could be chance
Seller paid closing costs or repairs: – No clear difference · could be chance
Has a view: – No clear difference · could be chance
4.9 The numbers: price and size
Under 1,794 SF10 sales
1,794–2,285 SF10 sales
2,300–2,890 SF9 sales
Over 2,890 SF10 sales
All39 sales
Real difference?
Net sale price average
$362,983
$431,544
$537,308
$667,029
$498,752
✓ large
Net price per SF average
$212
$212
$207
$205
$209
unclear
Living area average
1,710
2,056
2,609
3,262
2,404
by design
Year built median
2004
2002
2002
2005
2003
unclear
4.10 The numbers: selling
Under 1,794 SF10 sales
1,794–2,285 SF10 sales
2,300–2,890 SF9 sales
Over 2,890 SF10 sales
All39 sales
Real difference?
Days on market median
18
38
11
81
31
unclear
Discount from original list average
4.6%
5.6%
6.4%
8.2%
6.2%
unclear
Price cut before sale
60%
70%
33%
80%
62%
unclear
Seller paid closing costs or repairs
70%
60%
89%
80%
74%
unclear
Has a view
10%
10%
11%
50%
21%
unclear
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.2.
5. Quartiles by year builtResale homes · 39 sales · October 28, 2025 – October 27, 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.
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 2002
2002–2003
2004
After 2004
Real difference?
Net sale price
$542K
$466K
$397K
$577K
unclear
Net price per SF
$224 per SF
$203 per SF
$210 per SF
$208 per SF
unclear
Living area
2,488 SF
2,307 SF
1,896 SF
2,798 SF
unclear
Days on market
7 days
33 days
24 days
53 days
unclear
Discount from original list
4.3%
6.3%
4.8%
8.2%
unclear
Price cut before sale
43%
64%
71%
64%
unclear
Seller paid closing costs or repairs
100%
64%
57%
82%
unclear
Has a view
0%
14%
29%
36%
unclear
5.3 Net sale price: no clear difference
The average is $577K for homes built after 2004 and $542K for homes built before 2002. It does not move in a straight line; homes built after 2004 are highest. Defined in 8.1.1.
– No clear difference · could be chance
5.4 Net price per SF: no clear difference
The average is $208 per SF for homes built after 2004 and $224 per SF for homes built before 2002. It does not move in a straight line; homes built before 2002 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 2,798 SF for homes built after 2004 and 2,488 SF for homes built before 2002. It does not move in a straight line; homes built after 2004 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 53 days for homes built after 2004 and 7 days for homes built before 2002. It does not move in a straight line; homes built after 2004 are highest. Defined in 8.1.5.
– No clear difference · could be chance
5.7 Discount from original list: no clear difference
The average is 8.2% for homes built after 2004 and 4.3% for homes built before 2002. It does not move in a straight line; homes built after 2004 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
Each bar is the share of homes in the group, in percent.
64% of homes built after 2004 had a price cut before sale, against 43% of homes built before 2002. Defined in 8.1.7.
82% of homes built after 2004 had the seller pay closing costs or repairs, against 100% of homes built before 2002. Defined in 8.1.8.
36% of homes built after 2004 have a view, against 0% of homes built before 2002. 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 20027 sales
2002–200314 sales
20047 sales
After 200411 sales
All39 sales
Real difference?
Net sale price average
$541,636
$466,123
$397,429
$577,468
$498,752
unclear
Net price per SF average
$224
$203
$210
$208
$209
unclear
Living area average
2,488
2,307
1,896
2,798
2,404
unclear
Year built median
1998
2002
2004
2006
2003
by design
5.10 The numbers: selling
Before 20027 sales
2002–200314 sales
20047 sales
After 200411 sales
All39 sales
Real difference?
Days on market median
7
33
24
53
31
unclear
Discount from original list average
4.3%
6.3%
4.8%
8.2%
6.2%
unclear
Price cut before sale
43%
64%
71%
64%
62%
unclear
Seller paid closing costs or repairs
100%
64%
57%
82%
74%
unclear
Has a view
0%
14%
29%
36%
21%
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 · 39 sales · October 28, 2025 – October 27, 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.
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.
View
No view
Real difference?
Net sale price
$603K
$474K
unclear
Net price per SF
$207 per SF
$210 per SF
unclear
Living area
2,914 SF
2,280 SF
unclear
Year built
2004
2003
unclear
Days on market
28 days
26 days
unclear
Discount from original list
7.4%
5.9%
unclear
Price cut before sale
62%
60%
unclear
Seller paid closing costs or repairs
75%
73%
unclear
6.3 Net sale price: no clear difference
The average is $603K for homes with a view and $474K 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
The average is $207 per SF for homes with a view and $210 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
The average is 2,914 SF for homes with a view and 2,280 SF for homes without a view. Defined in 8.1.3.
– No clear difference · could be chance
6.6 Year built: no clear difference
The median is 2004 for homes with a view and 2003 for homes without a view. Defined in 8.1.4.
– No clear difference · could be chance
6.7 Days on market: no clear difference
The median is 28 days for homes with a view and 26 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
The average is 7.4% for homes with a view and 5.9% 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
Each bar is the share of homes in the group, in percent.
62% of homes with a view had a price cut before sale, against 60% of homes without a view. Defined in 8.1.7.
75% of homes with a view had the seller pay closing costs or repairs, against 73% 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
View8 sales
No view30 sales
All38 sales
Real difference?
Net sale price average
$602,776
$474,212
$501,278
unclear
Net price per SF average
$207
$210
$210
unclear
Living area average
2,914
2,280
2,413
unclear
Year built median
2004
2003
2003
unclear
6.11 The numbers: selling
View8 sales
No view30 sales
All38 sales
Real difference?
Days on market median
28
26
28
unclear
Discount from original list average
7.4%
5.9%
6.2%
unclear
Price cut before sale
62%
60%
61%
unclear
Seller paid closing costs or repairs
75%
73%
74%
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 · October 28, 2025 – October 27, 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 Forest Oaks.
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
39 resale sales. Average $498,752; median $470,000; standard deviation $126,787; middle half (25th–75th percentile) $380,500–$600,500; lowest $343,045, highest $741,000. 29 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
39 resale sales. Average $209; median $207; standard deviation $26; middle half (25th–75th percentile) $196–$217; lowest $168, highest $332.
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
39 resale sales. Average 2,404; median 2,285; standard deviation 633; middle half (25th–75th percentile) 1,791–2,890; lowest 1,632, highest 3,723.
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
39 resale sales. Average 2003; median 2003; standard deviation 3; middle half (25th–75th percentile) 2002–2005; lowest 1995, highest 2007.
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
39 resale sales. Average 55; median 31; standard deviation 67; middle half (25th–75th percentile) 12–71; lowest 3, highest 306. 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
39 resale sales. Average 6.2%; median 6.1%; standard deviation 5.1%; middle half (25th–75th percentile) 2.6%–9.2%; lowest −2.2%, highest 23.5%. 3 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
24 of 39 resale sales (61.5%).
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
29 of 39 resale sales (74.4%).
8.1.9 Has a view
In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
8 sales with a view, 30 without, 1 unclassified. Most common View entries: None 23, Neighborhood 10, Park/Greenbelt 5, Trees/Woods 3, Garden 1, See Remarks 1, Pasture 1, Pool 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 = Cedar Park, SubdivisionName contains any of “forest oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Forest Oaks family, the same rule comparable sales use.
The data
Pulled October 28, 2026: 39 closed Forest Oaks records over the prior year, in ZIP 78613. 17 subdivision spellings kept, the most common: Forest Oaks (4); Forest Oaks Sec 10 (4); Forest Oaks Sec 1 Pud (3); Forest Oaks Sec 12 (3); Forest Oaks Sec 2 Pud (3); Forest Oaks Sec 14 (3); Forest Oaks Sec 1 PUD (3); Forest Oaks Sec 2 (2); Forest Oaks Sec 9 (2); Forest Oaks Sec 3 Pud (2); Forest Oaks Sec 7 (2); FOREST OAKS 6 (2); and 5 more (6 records). 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 19 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 28, 2025 to October 27, 2026 inclusive.
The data
39 single-family sales in the window: 39 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
39 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 $381K”.
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 $381K: $343,045–$380,000 (10 sales); $381K–$470K: $381,000–$470,000 (10 sales); $479K–$599K: $478,630–$599,000 (9 sales); Over $599K: $602,000–$741,000 (10 sales) Quartiles by living area: Under 1,794 SF: 1,632–1,788 SF (10 sales); 1,794–2,285 SF: 1,794–2,285 SF (10 sales); 2,300–2,890 SF: 2,300–2,890 SF (9 sales); Over 2,890 SF: 2,891–3,723 SF (10 sales) Quartiles by year built: Before 2002: 1995–2001 (7 sales); 2002–2003: 2002–2003 (14 sales); 2004: 2004–2004 (7 sales); After 2004: 2005–2007 (11 sales) View and no view: View: MLS lists a view (8 sales); No view: None or Neighborhood (30 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 $498,752, median $470,000. Days on market: average 55, median 31: the average is pulled up by a few long listings.
8.2.7 Kruskal–Wallis test
In simple terms
Checks whether a measure really differs across the four groups of a slice. It uses each sale's rank, not its value, so a few extreme sales cannot drive the answer.
Statistically
H = [12/(n(n+1))] Σ Rⱼ²/nⱼ − 3(n+1), compared with χ² on k − 1 degrees of freedom (Kruskal & Wallis, 1952). Effect size ε² = H/(n − 1): ≥ .01 small, ≥ .06 medium, ≥ .14 large (Tomczak & Tomczak, 2014). A slice is tested only when every group has at least 5 sales; smaller groups are described, not tested.
The data
Run on every measure in sections 3–5; each result is in 8.3.
8.2.8 Mann–Whitney U test
In simple terms
The same check when there are only two groups: view against no view.
Statistically
Two-sided U test (Mann & Whitney, 1947). Effect size = rank-biserial correlation |1 − 2U/(n₁n₂)|: ≥ .10 small, ≥ .30 medium, ≥ .50 large (Kerby, 2014; Cohen, 1988).
The data
Run on every measure in section 6; results in 8.3.
8.2.9 Chi-square test
In simple terms
Checks whether a yes/no share (price cut, seller payment, view) differs between groups more than chance would.
Statistically
Pearson χ² on the 2 × k table of counts, no continuity correction (Pearson, 1900). Effect size Cramér's V = √(χ²/n): ≥ .10 small, ≥ .30 medium, ≥ .50 large (Cramér, 1946).
The data
Run on the three shares in every slice; results in 8.3.
8.2.10 Real difference (significance)
In simple terms
“Real difference” means a gap this large would be very unlikely if the groups were really alike. Because many measures are checked in each slice, the bar is set higher than usual.
Statistically
Significant when p < 0.05 ÷ m, where m is the number of measures tested in that slice (Bonferroni; Dunn, 1961). The slicing variable itself differs by design and is not tested.
The data
Quartiles by net sale price: m = 8, threshold p < 0.0063; Quartiles by living area: m = 8, threshold p < 0.0063; Quartiles by year built: m = 8, threshold p < 0.0063; 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
2 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
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net price per SF
Kruskal–Wallis
H = 3.19
3
0.3632
p < 0.0063
Unclear
ε² = 0.084
medium
Living area
Kruskal–Wallis
H = 32.80
3
< 0.0001
p < 0.0063
Yes
ε² = 0.863
large
Year built
Kruskal–Wallis
H = 1.52
3
0.6777
p < 0.0063
Unclear
ε² = 0.040
small
Days on market
Kruskal–Wallis
H = 1.21
3
0.7496
p < 0.0063
Unclear
ε² = 0.032
small
Discount from original list
Kruskal–Wallis
H = 3.51
3
0.3194
p < 0.0063
Unclear
ε² = 0.092
medium
Price cut before sale
Chi-square
χ² = 1.30
3
0.7283
p < 0.0063
Unclear
Cramér’s V = 0.183
small
Seller paid closing costs or repairs
Chi-square
χ² = 2.34
3
0.5041
p < 0.0063
Unclear
Cramér’s V = 0.245
small
Has a view
Chi-square
χ² = 7.18
3
0.0665
p < 0.0063
Unclear
Cramér’s V = 0.429
medium
8.3.2 Quartiles by living area
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 33.64
3
< 0.0001
p < 0.0063
Yes
ε² = 0.885
large
Net price per SF
Kruskal–Wallis
H = 2.42
3
0.4891
p < 0.0063
Unclear
ε² = 0.064
medium
Year built
Kruskal–Wallis
H = 4.00
3
0.2615
p < 0.0063
Unclear
ε² = 0.105
medium
Days on market
Kruskal–Wallis
H = 6.31
3
0.0977
p < 0.0063
Unclear
ε² = 0.166
large
Discount from original list
Kruskal–Wallis
H = 4.15
3
0.2455
p < 0.0063
Unclear
ε² = 0.109
medium
Price cut before sale
Chi-square
χ² = 4.78
3
0.1888
p < 0.0063
Unclear
Cramér’s V = 0.350
medium
Seller paid closing costs or repairs
Chi-square
χ² = 2.34
3
0.5041
p < 0.0063
Unclear
Cramér’s V = 0.245
small
Has a view
Chi-square
χ² = 7.18
3
0.0665
p < 0.0063
Unclear
Cramér’s V = 0.429
medium
8.3.3 Quartiles by year built
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Kruskal–Wallis
H = 10.61
3
0.0140
p < 0.0063
Unclear
ε² = 0.279
large
Net price per SF
Kruskal–Wallis
H = 0.98
3
0.8051
p < 0.0063
Unclear
ε² = 0.026
small
Living area
Kruskal–Wallis
H = 8.52
3
0.0364
p < 0.0063
Unclear
ε² = 0.224
large
Days on market
Kruskal–Wallis
H = 2.78
3
0.4276
p < 0.0063
Unclear
ε² = 0.073
medium
Discount from original list
Kruskal–Wallis
H = 2.15
3
0.5415
p < 0.0063
Unclear
ε² = 0.057
small
Price cut before sale
Chi-square
χ² = 1.39
3
0.7087
p < 0.0063
Unclear
Cramér’s V = 0.189
small
Seller paid closing costs or repairs
Chi-square
χ² = 4.57
3
0.2063
p < 0.0063
Unclear
Cramér’s V = 0.342
medium
Has a view
Chi-square
χ² = 4.11
3
0.2495
p < 0.0063
Unclear
Cramér’s V = 0.325
medium
8.3.4 View and no view
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net sale price
Mann–Whitney U
U = 183.00
—
0.0231
p < 0.0063
Unclear
rank-biserial r = 0.525
large
Net price per SF
Mann–Whitney U
U = 115.00
—
0.8745
p < 0.0063
Unclear
rank-biserial r = 0.042
negligible
Living area
Mann–Whitney U
U = 182.00
—
0.0277
p < 0.0063
Unclear
rank-biserial r = 0.517
large
Year built
Mann–Whitney U
U = 163.50
—
0.1201
p < 0.0063
Unclear
rank-biserial r = 0.363
medium
Days on market
Mann–Whitney U
U = 139.50
—
0.4962
p < 0.0063
Unclear
rank-biserial r = 0.163
small
Discount from original list
Mann–Whitney U
U = 149.00
—
0.3141
p < 0.0063
Unclear
rank-biserial r = 0.242
small
Price cut before sale
Chi-square
χ² = 0.02
1
0.8977
p < 0.0063
Unclear
Cramér’s V = 0.021
negligible
Seller paid closing costs or repairs
Chi-square
χ² = 0.01
1
0.9242
p < 0.0063
Unclear
Cramér’s V = 0.015
negligible
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
Cohen, J. (1988). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Erlbaum.
Cramér, H. (1946). Mathematical Methods of Statistics. Princeton University Press.
Dunn, O. J. (1961). Multiple comparisons among means. JASA, 56(293), 52–64.
Kerby, D. S. (2014). The simple difference formula: an approach to teaching nonparametric correlation. Comprehensive Psychology, 3, 11.IT.3.1.
Kruskal, W. H., & Wallis, W. A. (1952). Use of ranks in one-criterion variance analysis. JASA, 47(260), 583–621.
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.
Pearson, K. (1900). On the criterion that a given system of deviations… Philosophical Magazine, 50(302), 157–175.
Tomczak, M., & Tomczak, E. (2014). The need to report effect size estimates revisited. Trends in Sport Sciences, 21(1), 19–25.