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
25
single-family resale homes
Median net sale price
$695,000
average $668,061
Median net price per SF
$347
average $345
Median days on market
21 days
average 51 days
1. SummaryResale homes · 25 sales · October 26, 2025 – October 25, 2026
This study looks at the 25 resale homes sold in Oak Forest Sec 04 Amd in the 365 days to October 25, 2026. A full year is used because only 15 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 sold25 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 · 25 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.
Bottom line: no measure differs enough between the groups to rule out chance.
3.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
3.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under $620K
$620K–$659K
$695K–$736K
Over $736K
Real difference?
Net price per SF
$319 per SF
$331 per SF
$350 per SF
$378 per SF
unclear
Living area
1,618 SF
1,970 SF
2,054 SF
2,178 SF
unclear
Year built
1980
1978
1979
1980
unclear
Days on market
6 days
54 days
21 days
4 days
unclear
Discount from original list
4.6%
7.8%
2.0%
0.0%
unclear
Price cut before sale
17%
67%
29%
0%
unclear
Seller paid closing costs or repairs
50%
100%
57%
67%
unclear
Has a view
0%
0%
14%
17%
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 $378 per SF for homes over $736K and $319 per SF for homes under $620K. It rises step by step from the lowest range to the highest. Defined in 8.1.2.
– No clear difference · could be chance
3.4 Living area: no clear difference
The average is 2,178 SF for homes over $736K and 1,618 SF for homes under $620K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.
– No clear difference · could be chance
3.5 Year built: no clear difference
The median is 1980 for homes over $736K and 1980 for homes under $620K. It does not move in a straight line; homes over $736K are highest. Defined in 8.1.4.
– No clear difference · could be chance
3.6 Days on market: no clear difference
The median is 4 days for homes over $736K and 6 days for homes under $620K. It does not move in a straight line; homes $620K–$659K 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 0.0% for homes over $736K and 4.6% for homes under $620K. It does not move in a straight line; homes $620K–$659K 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.
0% of homes over $736K had a price cut before sale, against 17% of homes under $620K. Defined in 8.1.7.
67% of homes over $736K had the seller pay closing costs or repairs, against 50% of homes under $620K. Defined in 8.1.8.
17% of homes over $736K have a view, against 0% of homes under $620K. 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 $620K6 sales
$620K–$659K6 sales
$695K–$736K7 sales
Over $736K6 sales
All25 sales
Real difference?
Net sale price average
$516,042
$633,717
$708,296
$807,486
$668,061
by design
Net price per SF average
$319
$331
$350
$378
$345
unclear
Living area average
1,618
1,970
2,054
2,178
1,959
unclear
Year built median
1980
1978
1979
1980
1979
unclear
3.10 The numbers: selling
Under $620K6 sales
$620K–$659K6 sales
$695K–$736K7 sales
Over $736K6 sales
All25 sales
Real difference?
Days on market median
6
54
21
4
21
unclear
Discount from original list average
4.6%
7.8%
2.0%
0.0%
3.6%
unclear
Price cut before sale
17%
67%
29%
0%
28%
unclear
Seller paid closing costs or repairs
50%
100%
57%
67%
68%
unclear
Has a view
0%
0%
14%
17%
8%
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 · 25 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.
Bottom line: no measure differs enough between the groups to rule out chance.
4.1 Key differences
The top group against the bottom group: no measure differs enough to rule out chance.
4.2 At a glance
Shaded rows are real differences; the darkest cell is the highest. Gray rows show no clear difference. Prices are averages; days on market and year built are medians.
Under 1,721 SF
1,721–1,798 SF
1,822–2,239 SF
Over 2,239 SF
Real difference?
Net sale price
$550K
$651K
$737K
$723K
unclear
Net price per SF
$347 per SF
$368 per SF
$368 per SF
$292 per SF
unclear
Year built
1980
1980
1979
1978
unclear
Days on market
18 days
44 days
14 days
22 days
unclear
Discount from original list
2.4%
6.1%
0.6%
5.6%
unclear
Price cut before sale
33%
50%
0%
33%
unclear
Seller paid closing costs or repairs
50%
67%
57%
100%
unclear
Has a view
0%
17%
14%
0%
unclear
4.3 Net sale price: no clear difference
The average is $723K for homes over 2,239 SF and $550K for homes under 1,721 SF. It does not move in a straight line; homes 1,822–2,239 SF are highest. Defined in 8.1.1.
– No clear difference · could be chance
4.4 Net price per SF: no clear difference
The average is $292 per SF for homes over 2,239 SF and $347 per SF for homes under 1,721 SF. It does not move in a straight line; homes 1,721–1,798 SF are highest. Defined in 8.1.2.
– No clear difference · could be chance
4.5 Year built: no clear difference
The median is 1978 for homes over 2,239 SF and 1980 for homes under 1,721 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.4.
– No clear difference · could be chance
4.6 Days on market: no clear difference
The median is 22 days for homes over 2,239 SF and 18 days for homes under 1,721 SF. It does not move in a straight line; homes 1,721–1,798 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 5.6% for homes over 2,239 SF and 2.4% for homes under 1,721 SF. It does not move in a straight line; homes 1,721–1,798 SF are highest. Defined in 8.1.6.
– No clear difference · could be chance
4.8 How often: price cut before sale, seller paid closing costs or repairs, has a view
Each bar is the share of homes in the group, in percent.
33% of homes over 2,239 SF had a price cut before sale, against 33% of homes under 1,721 SF. Defined in 8.1.7.
100% of homes over 2,239 SF had the seller pay closing costs or repairs, against 50% of homes under 1,721 SF. Defined in 8.1.8.
0% of homes over 2,239 SF have a view, against 0% of homes under 1,721 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 1,721 SF6 sales
1,721–1,798 SF6 sales
1,822–2,239 SF7 sales
Over 2,239 SF6 sales
All25 sales
Real difference?
Net sale price average
$549,833
$651,092
$736,624
$723,269
$668,061
unclear
Net price per SF average
$347
$368
$368
$292
$345
unclear
Living area average
1,575
1,769
2,007
2,477
1,959
by design
Year built median
1980
1980
1979
1978
1979
unclear
4.10 The numbers: selling
Under 1,721 SF6 sales
1,721–1,798 SF6 sales
1,822–2,239 SF7 sales
Over 2,239 SF6 sales
All25 sales
Real difference?
Days on market median
18
44
14
22
21
unclear
Discount from original list average
2.4%
6.1%
0.6%
5.6%
3.6%
unclear
Price cut before sale
33%
50%
0%
33%
28%
unclear
Seller paid closing costs or repairs
50%
67%
57%
100%
68%
unclear
Has a view
0%
17%
14%
0%
8%
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 · 25 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.
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 1979
1979
1980–1981
After 1981
Real difference?
Net sale price
$687K
$648K
$702K
$633K
unclear
Net price per SF
$344 per SF
$358 per SF
$357 per SF
$319 per SF
unclear
Living area
2,039 SF
1,803 SF
2,004 SF
1,976 SF
unclear
Days on market
52 days
27 days
6 days
9 days
unclear
Discount from original list
4.6%
2.7%
1.6%
5.2%
unclear
Price cut before sale
29%
33%
17%
33%
unclear
Seller paid closing costs or repairs
86%
83%
50%
50%
unclear
Has a view
14%
0%
0%
17%
unclear
5.3 Net sale price: no clear difference
The average is $633K for homes built after 1981 and $687K for homes built before 1979. It does not move in a straight line; homes built 1980–1981 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 $319 per SF for homes built after 1981 and $344 per SF for homes built before 1979. It does not move in a straight line; homes built 1979 are highest. Defined in 8.1.2.
– No clear difference · could be chance
5.5 Living area: no clear difference
The average is 1,976 SF for homes built after 1981 and 2,039 SF for homes built before 1979. It does not move in a straight line; homes built before 1979 are highest. Defined in 8.1.3.
– No clear difference · could be chance
5.6 Days on market: no clear difference
The median is 9 days for homes built after 1981 and 52 days for homes built before 1979. It does not move in a straight line; homes built before 1979 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 5.2% for homes built after 1981 and 4.6% for homes built before 1979. It does not move in a straight line; homes built after 1981 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.
33% of homes built after 1981 had a price cut before sale, against 29% of homes built before 1979. Defined in 8.1.7.
50% of homes built after 1981 had the seller pay closing costs or repairs, against 86% of homes built before 1979. Defined in 8.1.8.
17% of homes built after 1981 have a view, against 14% of homes built before 1979. 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 19797 sales
19796 sales
1980–19816 sales
After 19816 sales
All25 sales
Real difference?
Net sale price average
$686,786
$647,542
$702,186
$632,612
$668,061
unclear
Net price per SF average
$344
$358
$357
$319
$345
unclear
Living area average
2,039
1,803
2,004
1,976
1,959
unclear
Year built median
1975
1979
1980
1983
1979
by design
5.10 The numbers: selling
Before 19797 sales
19796 sales
1980–19816 sales
After 19816 sales
All25 sales
Real difference?
Days on market median
52
27
6
9
21
unclear
Discount from original list average
4.6%
2.7%
1.6%
5.2%
3.6%
unclear
Price cut before sale
29%
33%
17%
33%
28%
unclear
Seller paid closing costs or repairs
86%
83%
50%
50%
68%
unclear
Has a view
14%
0%
0%
17%
8%
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 · 25 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.
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
The average is $774K for homes with a view and $659K for homes without a view. Defined in 8.1.1.
Not tested: too few sales.
6.4 Net price per SF: described, not tested
The average is $386 per SF for homes with a view and $341 per SF for homes without a view. Defined in 8.1.2.
Not tested: too few sales.
6.5 Living area: described, not tested
The average is 2,018 SF for homes with a view and 1,954 SF for homes without a view. Defined in 8.1.3.
Not tested: too few sales.
6.6 Year built: described, not tested
The median is 1979 for homes with a view and 1979 for homes without a view. Defined in 8.1.4.
Not tested: too few sales.
6.7 Days on market: described, not tested
The median is 100 days for homes with a view and 21 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
The average is 1.0% for homes with a view and 3.8% 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
Each bar is the share of homes in the group, in percent.
0% of homes with a view had a price cut before sale, against 30% of homes without a view. Defined in 8.1.7.
100% of homes with a view had the seller pay closing costs or repairs, against 65% of homes without a view. Defined in 8.1.8.
Price cut before sale: Not tested: too few sales.
Seller paid closing costs or repairs: Not tested: too few sales.
6.10 The numbers: price and size
View2 sales
No view23 sales
All25 sales
Net sale price average
$774,150
$658,836
$668,061
Net price per SF average
$386
$341
$345
Living area average
2,018
1,954
1,959
Year built median
1979
1979
1979
6.11 The numbers: selling
View2 sales
No view23 sales
All25 sales
Days on market median
100
21
21
Discount from original list average
1.0%
3.8%
3.6%
Price cut before sale
0%
30%
28%
Seller paid closing costs or repairs
100%
65%
68%
Prices, price per SF, living area and discount are averages; days on market and year built are medians. The test behind each verdict is in 8.3.4.
7. New constructionBasic statistics · 0 sales · October 26, 2025 – October 25, 2026
Homes sold new by the builder in the same 365 days. They are left out of every other section and shown here as basic figures only: 0 sales, no groups, no tests.
Note: these are only the new-construction sales reported in ABOR MLS. Builders often sell homes without listing them in the MLS, so these figures do not necessarily represent all new-construction sales in Oak Forest Sec 04 Amd.
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
25 resale sales. Average $668,061; median $695,000; standard deviation $118,380; middle half (25th–75th percentile) $620,000–$736,000; lowest $330,000, highest $840,000. 17 sales had a seller payment; their median payment was $3,500.
8.1.2 Net price per SF
In simple terms
Net sale price divided by the heated and cooled square feet. It puts homes of different sizes on the same footing: did buyers pay more for each square foot, not just for more square feet?
Statistically
psf = Net ÷ LivingArea, per sale; summarized by the mean of the per-sale ratios.
The data
25 resale sales. Average $345; median $347; standard deviation $56; middle half (25th–75th percentile) $304–$389; lowest $226, highest $447.
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
25 resale sales. Average 1,959; median 1,822; standard deviation 352; middle half (25th–75th percentile) 1,721–2,239; lowest 1,458, highest 2,659.
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
25 resale sales. Average 1979; median 1979; standard deviation 3; middle half (25th–75th percentile) 1977–1981; lowest 1975, highest 1983.
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
25 resale sales. Average 51; median 21; standard deviation 77; middle half (25th–75th percentile) 5–52; lowest 2, highest 302. 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
25 resale sales. Average 3.6%; median 3.5%; standard deviation 6.6%; middle half (25th–75th percentile) −0.1%–7.0%; lowest −7.7%, highest 15.6%. 7 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
7 of 25 resale sales (28.0%).
8.1.8 Seller paid closing costs or repairs
In simple terms
The seller paid some of the buyer's closing costs or repairs.
Statistically
Indicator: ACTRIS_BuyersClsgCostPdbySell + ACTRIS_RepairsAmount > 0. Reported as the share of sales (%).
The data
17 of 25 resale sales (68.0%).
8.1.9 Has a view
In simple terms
The MLS says the home looks over something: a greenbelt or park, trees, golf course, hill country, water and similar.
Statistically
View = the View field holds any entry other than “None”, “Neighborhood” or “See Remarks”. No view = only “None” and/or “Neighborhood”. A record whose only entry is “See Remarks” cannot be classified and is left out of the view slice.
The data
2 sales with a view, 23 without, 0 unclassified. Most common View entries: None 19, Neighborhood 5, Trees/Woods 2.
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 “oak forest”, “balcones oaks” (case-insensitive). A record is kept when its subdivision name belongs to the Oak Forest Sec 04 Amd family, the same rule comparable sales use (it includes Balcones Oaks, proven adjacent and priced alike).
The data
Pulled October 26, 2026: 25 closed Oak Forest Sec 04 Amd records over the prior year, in ZIP 78759. 8 subdivision spellings kept: Oak Forest Sec 04 Amd (9); Oak Forest Sec 05-A (6); Oak Forest (3); Balcones Oaks Sec 03-A (2); Oak Forest Sec 03 (2); BALCONES OAKS (1); Oak Forest Sec 02 (1); Balcones Oaks (1). Names found by the search but not part of Oak Forest Sec 04 Amd, left out: Highlands At Oak Forest (5); Highlands at Oak Forest (1).
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 15 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from October 26, 2025 to October 25, 2026 inclusive.
The data
25 single-family sales in the window: 25 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
25 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 $620K”.
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 $620K: $330,000–$603,250 (6 sales); $620K–$659K: $620,000–$659,000 (6 sales); $695K–$736K: $695,000–$736,000 (7 sales); Over $736K: $770,000–$840,000 (6 sales) Quartiles by living area: Under 1,721 SF: 1,458–1,704 SF (6 sales); 1,721–1,798 SF: 1,721–1,798 SF (6 sales); 1,822–2,239 SF: 1,822–2,239 SF (7 sales); Over 2,239 SF: 2,402–2,659 SF (6 sales) Quartiles by year built: Before 1979: 1975–1977 (7 sales); 1979: 1979–1979 (6 sales); 1980–1981: 1980–1981 (6 sales); After 1981: 1982–1983 (6 sales) View and no view: View: MLS lists a view (2 sales); No view: None or Neighborhood (23 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 $668,061, median $695,000. Days on market: average 51, median 21: 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
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
Measure
Test
Statistic
df
p-value
Threshold
Real difference?
Effect size
Size
Net price per SF
Kruskal–Wallis
H = 3.55
3
0.3143
p < 0.0063
Unclear
ε² = 0.148
large
Living area
Kruskal–Wallis
H = 10.98
3
0.0118
p < 0.0063
Unclear
ε² = 0.458
large
Year built
Kruskal–Wallis
H = 1.06
3
0.7867
p < 0.0063
Unclear
ε² = 0.044
small
Days on market
Kruskal–Wallis
H = 7.58
3
0.0556
p < 0.0063
Unclear
ε² = 0.316
large
Discount from original list
Kruskal–Wallis
H = 5.03
3
0.1694
p < 0.0063
Unclear
ε² = 0.210
large
Price cut before sale
Chi-square
χ² = 7.17
3
0.0668
p < 0.0063
Unclear
Cramér’s V = 0.535
large
Seller paid closing costs or repairs
Chi-square
χ² = 4.10
3
0.2508
p < 0.0063
Unclear
Cramér’s V = 0.405
medium
Has a view
Chi-square
χ² = 2.03
3
0.5659
p < 0.0063
Unclear
Cramér’s V = 0.285
small
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 = 9.74
3
0.0209
p < 0.0063
Unclear
ε² = 0.406
large
Net price per SF
Kruskal–Wallis
H = 8.06
3
0.0448
p < 0.0063
Unclear
ε² = 0.336
large
Year built
Kruskal–Wallis
H = 0.58
3
0.9012
p < 0.0063
Unclear
ε² = 0.024
small
Days on market
Kruskal–Wallis
H = 0.96
3
0.8099
p < 0.0063
Unclear
ε² = 0.040
small
Discount from original list
Kruskal–Wallis
H = 4.01
3
0.2608
p < 0.0063
Unclear
ε² = 0.167
large
Price cut before sale
Chi-square
χ² = 4.33
3
0.2278
p < 0.0063
Unclear
Cramér’s V = 0.416
medium
Seller paid closing costs or repairs
Chi-square
χ² = 4.10
3
0.2508
p < 0.0063
Unclear
Cramér’s V = 0.405
medium
Has a view
Chi-square
χ² = 2.03
3
0.5659
p < 0.0063
Unclear
Cramér’s V = 0.285
small
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 = 0.70
3
0.8734
p < 0.0063
Unclear
ε² = 0.029
small
Net price per SF
Kruskal–Wallis
H = 1.65
3
0.6487
p < 0.0063
Unclear
ε² = 0.069
medium
Living area
Kruskal–Wallis
H = 0.77
3
0.8578
p < 0.0063
Unclear
ε² = 0.032
small
Days on market
Kruskal–Wallis
H = 4.67
3
0.1978
p < 0.0063
Unclear
ε² = 0.194
large
Discount from original list
Kruskal–Wallis
H = 1.67
3
0.6438
p < 0.0063
Unclear
ε² = 0.070
medium
Price cut before sale
Chi-square
χ² = 0.55
3
0.9072
p < 0.0063
Unclear
Cramér’s V = 0.149
small
Seller paid closing costs or repairs
Chi-square
χ² = 3.44
3
0.3280
p < 0.0063
Unclear
Cramér’s V = 0.371
medium
Has a view
Chi-square
χ² = 2.03
3
0.5659
p < 0.0063
Unclear
Cramér’s V = 0.285
small
8.3.4 View and no view
Too few sales in a group to test.
8.4 Data notes
Left out of the analysis: 0 new-construction sales (basic statistics only, section 7); nothing else. Statistics: Python, NumPy 2.5.3, SciPy 1.18.1.
8.5 References
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.