ALEX · Alexander Tiffany Southwest, LLC – ALEX Companies

Heritage Park

Cedar Park, TX 78613
Resale homes · closed Nov 5 – Nov 4, 2026
Prepared for Buyers, sellers and agents
Prepared by ALEX Real Estate
Market Study · Resale Analysis
Version 2.4
November 5, 2026 · 4:15 PM CST
MARKET STUDY All analysis covers resale homes only. New construction appears once, in its own section. Click any dot on the map for that sale.
Resale sales, 365 days
13
single-family resale homes
Median net sale price
$387,198
average $377,806
Median net price per SF
$193
average $191
Median days on market
63 days
average 81 days
1. SummaryResale homes · 13 sales · November 5, 2025 – November 4, 2026

This study looks at the 13 resale homes sold in Heritage Park in the 365 days to November 4, 2026. A full year is used because only 3 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 sold13 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 $319K · 3 sales$319K–$342K · 3 sales$387K–$428K · 4 salesOver $428K · 3 sales
3. Quartiles by net sale priceResale homes · 13 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T16:15:27.579177 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 3 3 4 3 13 sales Sales per group Under $319K: 3 sales (23%) $319K–$342K: 3 sales (23%) $387K–$428K: 4 sales (31%) Over $428K: 3 sales (23%)
Bottom line: too few sales to test.

3.1 Key differences

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

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

3.3 Net price per SF: described, not tested

2026-11-05T16:15:27.606862 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $319K 3 sales $319K– $342K 3 sales $387K– $428K 4 sales Over $428K 3 sales $0 $100 $200 $207 $191 $185 $181 Net price per SF, average

The average is $181 per SF for homes over $428K and $207 per SF for homes under $319K. It falls step by step from the lowest range to the highest. Defined in 8.1.2.

Not tested: too few sales.

3.4 Living area: described, not tested

2026-11-05T16:15:27.629011 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $319K 3 sales $319K– $342K 3 sales $387K– $428K 4 sales Over $428K 3 sales 0 1,000 2,000 3,000 1,450 1,723 2,238 2,609 Living area (SF), average

The average is 2,609 SF for homes over $428K and 1,450 SF for homes under $319K. It rises step by step from the lowest range to the highest. Defined in 8.1.3.

Not tested: too few sales.

3.5 Year built: described, not tested

2026-11-05T16:15:27.652864 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $319K 3 sales $319K– $342K 3 sales $387K– $428K 4 sales Over $428K 3 sales 2000 2001 2002 2003 2003 2000 2002 2002 Year built: median (dot) and middle half (bar)

The median is 2002 for homes over $428K and 2003 for homes under $319K. It does not move in a straight line; homes under $319K are highest. Defined in 8.1.4.

Not tested: too few sales.

3.6 Days on market: described, not tested

2026-11-05T16:15:27.674863 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $319K 3 sales $319K– $342K 3 sales $387K– $428K 4 sales Over $428K 3 sales 0 50 100 150 44 157 46 80 Days on market, median

The median is 80 days for homes over $428K and 44 days for homes under $319K. It does not move in a straight line; homes $319K–$342K are highest. Defined in 8.1.5.

Not tested: too few sales.

3.7 Discount from original list: described, not tested

2026-11-05T16:15:27.697547 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under $319K 3 sales $319K– $342K 3 sales $387K– $428K 4 sales Over $428K 3 sales 0.0% 5.0% 10.0% 7.4% 10.8% 2.9% 2.7% Discount from original list, average

The average is 2.7% for homes over $428K and 7.4% for homes under $319K. It does not move in a straight line; homes $319K–$342K are highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T16:15:27.726858 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% 67 100 0 67 100 0 25 50 25 33 67 0 Under $319K $319K–$342K $387K–$428K Over $428K

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

  • 33% of homes over $428K had a price cut before sale, against 67% of homes under $319K. Defined in 8.1.7.
  • 67% of homes over $428K had the seller pay closing costs or repairs, against 100% of homes under $319K. Defined in 8.1.8.
  • 0% of homes over $428K have a view, against 0% of homes under $319K. 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 $319K3 sales$319K–$342K3 sales$387K–$428K4 salesOver $428K3 salesAll13 sales
Net sale price average$294,476$329,031$408,493$468,997$377,806
Net price per SF average$207$191$185$181$191
Living area average1,4501,7232,2382,6092,023
Year built median20032000200220022003

3.10 The numbers: selling

Under $319K3 sales$319K–$342K3 sales$387K–$428K4 salesOver $428K3 salesAll13 sales
Days on market median44157468063
Discount from original list average7.4%10.8%2.9%2.7%5.7%
Price cut before sale67%67%25%33%46%
Seller paid closing costs or repairs100%100%50%67%77%
Has a view0%0%25%0%8%

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. Groups by living areaResale homes · 13 sales · November 5, 2025 – November 4, 2026

Sales ranked by living area and cut into four equal groups, from the smallest homes to the largest. Only 3 groups are shown: homes here share a few living area values, and no group may hold fewer than 3 sales.

2026-11-05T16:15:27.745436 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 5 5 3 13 sales Sales per group Under 1,808 SF: 5 sales (38%) 1,808–2,454 SF: 5 sales (38%) Over 2,454 SF: 3 sales (23%)
Bottom line: too few sales to test.

4.1 Key differences

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

4.3 Net sale price: described, not tested

2026-11-05T16:15:27.764394 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,808 SF 5 sales 1,808– 2,454 SF 5 sales Over 2,454 SF 3 sales $0K $200K $400K $309K $400K $456K Net sale price, average

The average is $456K for homes over 2,454 SF and $309K for homes under 1,808 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.1.

Not tested: too few sales.

4.4 Net price per SF: described, not tested

2026-11-05T16:15:27.784538 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,808 SF 5 sales 1,808– 2,454 SF 5 sales Over 2,454 SF 3 sales $0 $100 $200 $203 $191 $170 Net price per SF, average

The average is $170 per SF for homes over 2,454 SF and $203 per SF for homes under 1,808 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

2026-11-05T16:15:27.805477 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,808 SF 5 sales 1,808– 2,454 SF 5 sales Over 2,454 SF 3 sales 2000 2001 2002 2003 2003 2000 2003 Year built: median (dot) and middle half (bar)

The median is 2003 for homes over 2,454 SF and 2003 for homes under 1,808 SF. It does not move in a straight line; homes under 1,808 SF are highest. Defined in 8.1.4.

Not tested: too few sales.

4.6 Days on market: described, not tested

2026-11-05T16:15:27.825535 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,808 SF 5 sales 1,808– 2,454 SF 5 sales Over 2,454 SF 3 sales 0 50 100 44 50 84 Days on market, median

The median is 84 days for homes over 2,454 SF and 44 days for homes under 1,808 SF. It rises step by step from the lowest range to the highest. Defined in 8.1.5.

Not tested: too few sales.

4.7 Discount from original list: described, not tested

2026-11-05T16:15:27.846095 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Under 1,808 SF 5 sales 1,808– 2,454 SF 5 sales Over 2,454 SF 3 sales 0.0% 2.5% 5.0% 7.5% 7.8% 5.7% 2.2% Discount from original list, average

The average is 2.2% for homes over 2,454 SF and 7.8% for homes under 1,808 SF. It falls step by step from the lowest range to the highest. Defined in 8.1.6.

Not tested: too few sales.

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

2026-11-05T16:15:27.868929 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% 60 100 0 60 60 20 0 67 0 Under 1,808 SF 1,808–2,454 SF Over 2,454 SF

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

  • 0% of homes over 2,454 SF had a price cut before sale, against 60% of homes under 1,808 SF. Defined in 8.1.7.
  • 67% of homes over 2,454 SF had the seller pay closing costs or repairs, against 100% of homes under 1,808 SF. Defined in 8.1.8.
  • 0% of homes over 2,454 SF have a view, against 0% of homes under 1,808 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 1,808 SF5 sales1,808–2,454 SF5 salesOver 2,454 SF3 salesAll13 sales
Net sale price average$309,004$399,895$455,663$377,806
Net price per SF average$203$191$170$191
Living area average1,5432,1052,6862,023
Year built median2003200020032003

4.10 The numbers: selling

Under 1,808 SF5 sales1,808–2,454 SF5 salesOver 2,454 SF3 salesAll13 sales
Days on market median44508463
Discount from original list average7.8%5.7%2.2%5.7%
Price cut before sale60%60%0%46%
Seller paid closing costs or repairs100%60%67%77%
Has a view0%20%0%8%

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 · 13 sales · November 5, 2025 – November 4, 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 2 groups are shown: homes here share a few year built values, and no group may hold fewer than 3 sales.

2026-11-05T16:15:27.885458 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 6 7 13 sales Sales per group Before 2003: 6 sales (46%) After 2002: 7 sales (54%)
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 2003After 2002Real difference?
Net sale price$406K$354Kunclear
Net price per SF$184 per SF$196 per SFunclear
Living area2,221 SF1,853 SFunclear
Days on market66 days63 daysunclear
Discount from original list6.0%5.5%unclear
Price cut before sale50%43%unclear
Seller paid closing costs or repairs67%86%unclear
Has a view17%0%unclear

5.3 Net sale price: no clear difference

2026-11-05T16:15:27.902781 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 6 sales After 2002 7 sales $0K $100K $200K $300K $400K $406K $354K Net sale price, average

The average is $354K for homes built after 2002 and $406K for homes built before 2003. Defined in 8.1.1.

– No clear difference · could be chance

5.4 Net price per SF: no clear difference

2026-11-05T16:15:27.921442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 6 sales After 2002 7 sales $0 $50 $100 $150 $200 $184 $196 Net price per SF, average

The average is $196 per SF for homes built after 2002 and $184 per SF for homes built before 2003. Defined in 8.1.2.

– No clear difference · could be chance

5.5 Living area: no clear difference

2026-11-05T16:15:27.939621 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 6 sales After 2002 7 sales 0 1,000 2,000 2,221 1,853 Living area (SF), average

The average is 1,853 SF for homes built after 2002 and 2,221 SF for homes built before 2003. Defined in 8.1.3.

– No clear difference · could be chance

5.6 Days on market: no clear difference

2026-11-05T16:15:27.956873 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 6 sales After 2002 7 sales 0 20 40 60 66 63 Days on market, median

The median is 63 days for homes built after 2002 and 66 days for homes built before 2003. Defined in 8.1.5.

– No clear difference · could be chance

5.7 Discount from original list: no clear difference

2026-11-05T16:15:27.974324 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Before 2003 6 sales After 2002 7 sales 0.0% 2.0% 4.0% 6.0% 6.0% 5.5% Discount from original list, average

The average is 5.5% for homes built after 2002 and 6.0% for homes built before 2003. 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

2026-11-05T16:15:27.994659 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 67 17 43 86 0 Before 2003 After 2002

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

  • 43% of homes built after 2002 had a price cut before sale, against 50% of homes built before 2003. Defined in 8.1.7.
  • 86% of homes built after 2002 had the seller pay closing costs or repairs, against 67% of homes built before 2003. Defined in 8.1.8.
  • 0% of homes built after 2002 have a view, against 17% of homes built before 2003. 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 20036 salesAfter 20027 salesAll13 salesReal difference?
Net sale price average$405,796$353,815$377,806unclear
Net price per SF average$184$196$191unclear
Living area average2,2211,8532,023unclear
Year built median200020032003by design

5.10 The numbers: selling

Before 20036 salesAfter 20027 salesAll13 salesReal difference?
Days on market median666363unclear
Discount from original list average6.0%5.5%5.7%unclear
Price cut before sale50%43%46%unclear
Seller paid closing costs or repairs67%86%77%unclear
Has a view17%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 8.3.3.

6. View and no viewResale homes · 13 sales · November 5, 2025 – November 4, 2026

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

2026-11-05T16:15:28.011140 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ 1 12 13 sales Sales per group View: 1 sales (8%) No view: 12 sales (92%)
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

2026-11-05T16:15:28.027442 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 12 sales $0K $100K $200K $300K $400K $400K $376K Net sale price, average

The average is $400K for homes with a view and $376K for homes without a view. Defined in 8.1.1.

Not tested: too few sales.

6.4 Net price per SF: described, not tested

2026-11-05T16:15:28.046260 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 12 sales $0 $50 $100 $150 $200 $163 $193 Net price per SF, average

The average is $163 per SF for homes with a view and $193 per SF for homes without a view. Defined in 8.1.2.

Not tested: too few sales.

6.5 Living area: described, not tested

2026-11-05T16:15:28.064733 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 12 sales 0 1,000 2,000 2,454 1,987 Living area (SF), average

The average is 2,454 SF for homes with a view and 1,987 SF for homes without a view. Defined in 8.1.3.

Not tested: too few sales.

6.6 Year built: described, not tested

2026-11-05T16:15:28.084061 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 12 sales 1999 2000 2001 2002 2003 1999 2003 Year built: median (dot) and middle half (bar)

The median is 1999 for homes with a view and 2003 for homes without a view. Defined in 8.1.4.

Not tested: too few sales.

6.7 Days on market: described, not tested

2026-11-05T16:15:28.103067 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 12 sales 0 20 40 60 80 82 56 Days on market, median

The median is 82 days for homes with a view and 56 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

2026-11-05T16:15:28.142504 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ View 1 sales No view 12 sales 0.0% 2.0% 4.0% 6.0% 3.6% 5.9% Discount from original list, average

The average is 3.6% for homes with a view and 5.9% 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

2026-11-05T16:15:28.161146 image/svg+xml Matplotlib v3.11.2, https://matplotlib.org/ Price cut Seller paid costs or repairs 0% 25% 50% 75% 100% 100 0 42 83 View No view

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

  • 100% of homes with a view had a price cut before sale, against 42% of homes without a view. Defined in 8.1.7.
  • 0% of homes with a view had the seller pay closing costs or repairs, against 83% 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

View1 salesNo view12 salesAll13 sales
Net sale price average$399,995$375,957$377,806
Net price per SF average$163$193$191
Living area average2,4541,9872,023
Year built median199920032003

6.11 The numbers: selling

View1 salesNo view12 salesAll13 sales
Days on market median825663
Discount from original list average3.6%5.9%5.7%
Price cut before sale100%42%46%
Seller paid closing costs or repairs0%83%77%

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

7. New constructionBasic statistics · 0 sales · November 5, 2025 – November 4, 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 Heritage Park.

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
13 resale sales. Average $377,806; median $387,198; standard deviation $69,981; middle half (25th–75th percentile) $319,092–$427,500; lowest $279,000, highest $480,000. 10 sales had a seller payment; their median payment was $7,204.

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
13 resale sales. Average $191; median $193; standard deviation $23; middle half (25th–75th percentile) $167–$201; lowest $163, highest $229.

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
13 resale sales. Average 2,023; median 1,808; standard deviation 512; middle half (25th–75th percentile) 1,706–2,454; lowest 1,216, highest 2,904.

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
13 resale sales. Average 2002; median 2003; standard deviation 2; middle half (25th–75th percentile) 2000–2003; lowest 1999, highest 2004.

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
13 resale sales. Average 81; median 63; standard deviation 82; middle half (25th–75th percentile) 10–84; lowest 3, highest 260. 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
13 resale sales. Average 5.7%; median 4.8%; standard deviation 5.8%; middle half (25th–75th percentile) 1.8%–8.5%; lowest −3.3%, highest 15.5%. 1 sales closed above their first asking price.

8.1.7 Price cut before sale

In simple terms
The asking price was lowered at least once before the home went under contract.
Statistically
Indicator: ListPrice at close < OriginalListPrice. Reported as the share of sales (%).
The data
6 of 13 resale sales (46.2%).

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
10 of 13 resale sales (76.9%).

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
1 sales with a view, 12 without, 0 unclassified. Most common View entries: None 10, Neighborhood 2, Panoramic 1, Park/Greenbelt 1.

8.2 Methods

8.2.1 Data source

In simple terms
Every figure comes from the Austin Board of REALTORS® MLS, read live by ALEX. No figure is estimated or typed in.
Statistically
ABOR MLS via secure APIs, read from ALEX's copy of the MLS (refreshed every 15 minutes; this pull as of 2026-11-05 22:15 UTC), every field. Filter: StandardStatus = Closed, PropertyType = Residential, City = Cedar Park, SubdivisionName contains any of “heritage park” (case-insensitive). A record is kept when its subdivision name belongs to the Heritage Park family, the same rule comparable sales use.
The data
Pulled November 5, 2026: 13 closed Heritage Park records over the prior year, in ZIP 78613. 5 subdivision spellings kept: Heritage Park Sec 4 (5); Heritage Park Sec 1 (3); Heritage Park Sec 3 (3); Heritage Park Sec 2 (1); Heritage Park Sec 01 (1). No other names were found by the search.

8.2.2 Study window

In simple terms
The most recent 365 days of closed sales: recent enough to describe today's market, long enough to give each group plenty of sales. The usual window is 180 days; it holds only 3 resale sales here (under 80), so the full year is used.
Statistically
CloseDate from November 5, 2025 to November 4, 2026 inclusive.
The data
13 single-family sales in the window: 13 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
13 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 $319K”.
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 $319K: $279,000–$312,618 (3 sales); $319K–$342K: $319,092–$342,500 (3 sales); $387K–$428K: $387,198–$427,500 (4 sales); Over $428K: $459,490–$480,000 (3 sales)
Groups by living area: Under 1,808 SF: 1,216–1,756 SF (5 sales); 1,808–2,454 SF: 1,808–2,454 SF (5 sales); Over 2,454 SF: 2,563–2,904 SF (3 sales)
Groups by year built: Before 2003: 1999–2002 (6 sales); After 2002: 2003–2004 (7 sales)
View and no view: View: MLS lists a view (1 sales); No view: None or Neighborhood (12 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 $377,806, median $387,198. Days on market: average 81, median 63: 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 Groups 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 priceMann–Whitney UU = 32.00—0.1375p < 0.0063Unclearrank-biserial r = 0.524large
Net price per SFMann–Whitney UU = 15.00—0.4452p < 0.0063Unclearrank-biserial r = 0.286small
Living areaMann–Whitney UU = 29.50—0.2524p < 0.0063Unclearrank-biserial r = 0.405medium
Days on marketMann–Whitney UU = 24.00—0.7206p < 0.0063Unclearrank-biserial r = 0.143small
Discount from original listMann–Whitney UU = 24.00—0.7308p < 0.0063Unclearrank-biserial r = 0.143small
Price cut before saleChi-squareχ² = 0.0710.7968p < 0.0063UnclearCramér’s V = 0.071negligible
Seller paid closing costs or repairsChi-squareχ² = 0.6610.4164p < 0.0063UnclearCramér’s V = 0.225small
Has a viewChi-squareχ² = 1.2610.2609p < 0.0063UnclearCramér’s V = 0.312medium

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

  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 13 closed MLS resale sales; the 0 new-construction sales appear only in their own section, as basic statistics. Sale and listing data: ABOR MLS via secure APIs, pulled November 5, 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.