Kapahulu – Diamond Head: Unscathed by the Great Recession?

I was at lunch with a friend this week, and he suggested the idea that home prices in his neighborhood (near Diamond Head) may have escaped the Great Recession altogether and, in fact, appreciated a bit along the way.

While it is common knowledge that the worldwide financial crisis did great damage to real estate prices in much of the United States, Hawaii was impacted less, and it is certainly possible that a desirable sub-market (like the Diamond Head area) could have emerged unscathed.

I decided to check it out.

MLS Local Market Statistics – Kapahulu – Diamond Head

The graph and data table below shows MLS sales statistics for the Kapahulu – Diamond Head area from 2002 through June 2013:

Source: Honolulu Board of REALTORS® and Chris Ponsar, MAI

Source: Honolulu Board of REALTORS® and Chris Ponsar, MAI

The graph clearly shows the amazing run up in prices experienced in the subprime era (pre-2008), with median price peaking at over $800,000 in 2007 (number of sales topped out at 319 in 2004).

A closer look reveals the supply/demand relationship: As the median price continued to climb after 2004, fewer and fewer buyers were pulling the trigger.  Conversely, when median prices bottomed out in 2009, demand began to increase.

The following table analyzes the data a little differently:

Kapahulu - Diamond Head - Year over Year

From the peak of the market in 2007, the Kapahulu – Diamond Head submarket declined four and nine percent in 2008 and 2009, respectively, and about 13 percent overall, before recovering a bit in 2010.

Considering these figures, it looks like my friend’s neighborhood took a moderate price hit after the collapse of Lehman Brothers….but our work isn’t done.

Wait a minute.  Kapahulu – Diamond Head, that’s kind of a mixed bag, isn’t it?

It is.  And as it turns out, much more mixed than I originally thought.

The Honolulu Board of REALTORS®  defines the Kapahulu – Diamond Head Local Market Area as including sections (1) 3-1 through (1) 3-4.  The map below approximates the boundaries of this area.

Sources: Bing Maps, City and County of Honolulu DPP, and Chris Ponsar, MAI

Sources: Bing Maps, City and County of Honolulu DPP, and Chris Ponsar, MAI

As you can see, the following neighborhoods are included in this statistical area:

  • Kapahulu
  • Diamond Head
  • Kaimuki
  • Wilhelmina Rise
  • St. Louis Heights
  • Palolo

If you’re familiar with Honolulu, you’ll quickly realize that is quite a diverse spread of neighborhoods!  Great aloha to be had everywhere, but buyers looking to purchase around Diamond Head might not consider the other areas to be substitutable options.

Could my friend be right?  Is it possible that his neighborhood (Diamond Head) is a micro-market that survived the Great Recession better than the other areas in his MLS Local Market?  It makes logical sense that a desireable location like Diamond Head could have bucked the trend–let’s dig deeper.

Time to bring out the big guns – Paired Sales Analysis

My friend lives in Section (1) 3-1, which is shown on the maps below:

City and County of Honolulu, Department of Planning & Permitting

City and County of Honolulu, Department of Planning & Permitting

City and County of Honolulu Tax Map - First Division, Zone 3, Section 1

City and County of Honolulu Tax Map – First Division, Zone 3, Section 1

Commonly referred to as “Paired Sales” in Hawaii appraisal circles, “Paired Data Analysis” is defined as:

paired data analysis

A quantitative technique used to identify and measure adjustments to the sale prices or rents of comparable properties; to apply this technique, sales or rental data on nearly identical properties is analyzed to isolate and estimate a single characteristic’s effect on value or rent. Often referred to as paired sales analysis.

Source: Appraisal Institute, The Dictionary of Real Estate Appraisal, 5th ed. (Chicago: Appraisal Institute, 2010).

In order to accomplish this, I researched sales activity in Section (1) 3-1 (my friend’s general neighborhood) from 2004 through 2010, focusing on sales of single family homes that were listed by the selling agent as being in “average” or better condition.

My research found 22 “pairings”, single family homes in (1) 3-1 that sold in late 2004, 2005, 2006, or 2007 (the peak of the market), and later resold from September 15, 2008 (Lehman Brothers)  through the end of 2010.  Of these 22 pairings, 10 were substantially remodeled in the interim, and thus not considered.

(1) 3-1 Paired Sales Pie Chart

After the 10 remodeled pairings were removed, 12 “pure” pairings remained–resales of homes that were substantially similar in the time frame being studied.  These 12 sales are analyzed in the chart below:

Diamond Head Paired Sales

Click To Enlarge

As you can see, 10 of the 12 paired sales show price declines in the study period, ranging from negative 0.6 percent to negative 25.6 percent.  The two positive indicators showed upward figures of 1.4 and 0.6 percent.  The overall average price change for the 12 “pure” pairings (not remodeled) in Section (1) 3-1 was negative 8.3 percent.

Conclusion: Still looks like a price drop after Lehman Brothers, but not a huge one.

In the end, even though the Kapahulu-Diamond Head MLS statistical zone includes a diverse range of neighborhoods, it appears that the immediate Diamond Head area, like much of the United States, did indeed suffer a setback (negative 8.3 percent according to this analysis) in the early portion of the worldwide financial crisis.

Resort Homesites – Front Row vs. Second Row – A Big Island Paired Sales Analysis

Hawaii real estate appraisers are often asked to value residential properties that have spectacular ocean views.

Not a bad gig, I admit.

I recently did some appraisal work in Maniniowali, a luxury subdivision in the Kukio membership community on the Big Island of Hawaii.

I was valuing a front row lot, and this time, fortunately, there were several recent sales of similar properties to analyze.  But this is not always the case.  In high-end resort subdivisions, sales occur relatively infrequently–as such, quality comparables are sometimes hard to come by.

When appraising oceanfront or front-row properties, it is common to have no recent front-row sales in the subject subdivision.  But often times, there are timely sales of second row lots that can give an appraiser a better sense of values in the front row market.

Consider these two properties at Maniniowali:

Manini Paired Sale AerialImage Source: Bing Maps  (Click to Enlarge)
Manini Paired Sales Tax MapHawaii County Tax Map  (Click to Enlarge)

The aerial photo and tax map show a front row homesite, Lot 14, and a second row homesite, Lot 6.

For persons interested in real estate analysis, especially appraisers, these transactions are a stroke of analytical luck because they:

  • Closed just six days apart, in early May 2013
  • Both have ocean views
  • Are similar in size
  • Have the ability to purchase a membership in the same exclusive club (Kukio)

In short, a perfect opportunity for a pure paired sales analysis! (An appraiser geek term that speaks to the ability to test the value impact of a single, isolated variable)

The chart below shows a paired sales analysis for this set of comparables:

Manini paired saleSource: Chris Ponsar. MAI  (Click to Enlarge)

As shown, the second row lot at Maniniowali sold for approximately 27 cents on the dollar compared to its front row counterpart.  Said differently, Lot 14 sold for 3.6 times the price of Lot 6.

As an appraiser, I use relationships like this to help me in situations where I am challenged for data.  Obviously, this is only one pairing, and I’ll post similar paired sales of front row and second row lots as I come across them, but to the extent this relationship becomes a consistent trend, an appraiser may be able to check the reasonableness of their value conclusions for a front row lot against sale prices of second row lots, and vice-versa.

Comments and/or Questions?  Please leave them in the comments section below–I’d be happy to clarify or expand.

Aloha, Chris