Miami-Dade Tax Credit Applications

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In December of 2017, the Florida Housing Finance Corporation received 27 applications for competitive 9% tax credits in Miami-Dade County. The locations of the associated development sites are mapped below.

Comparing the Sites to the Average Miami-Dade Neighborhood

Let's take a closer look at the communities where theses sites are located.

In the census tracts containing sites for which developers submitted applications for competetive tax-credit funding:

  • The average poverty rate is 31.3% (with a range of 11.5% to 54.0%);
  • The average rate of households receiving food assistance benefits is 43.2% (with a range of 14.3% to 55.7%);
  • The average adult labor force participation rate is 58.9% (with a range of 42.8% to 74.1%); and
  • The average unemployment rate (among individuals over 16 years of age) is 13.6%.

Let’s put that all in context. For all populated census tracts in Miami-Dade County:

  • The average poverty rate is 20.0%;
  • The average rate of households receiving food assistance benefits is 25.0%;
  • The average adult labor force particiaption rate is 62.2%; and
  • The average unemployment rate (among individuals over 16 years of age) is 8.6%.

That means that on average, applications for tax credits are originating from census tracts where the incidence of poverty is 56.5% greater than the typical Miami-Dade County census tract; dependence on food assistance is 72.8% greater. Applications are originating from tracts where labor force participation is meaningfully less; and among those in the work force, unemployment is 58% greater than in the typical Miami-Dade County census tract.

Comparing Sites to Each Other

Among the 17 applications indicating that the development will serve the family demographic (i.e occupancy will not be limited to older persons), 3 are in census tracts where the rate of poverty is less than the average Miami-Dade County census tract. Another 8 are located in census tracts with rates of poverty less than a full standard deviation above the mean.

There are 20 applications which supposedly include participation by not-for-profit organizations (including one in which the true principal is a for-profit developer subject to a deferred prosecution agreement for lying to the Corporation about construction costs in order to enrich himself). Of these, 11 indicate that the property will serve the family demographic. In all likelihood, the funded deals will be among these applications.

All of these applications come from competent developers who can make it through underwriting, complete construction, and place the buildings in service on time. The buildings will all be physically indistinguishable from market rate housing.  All of the proposals are for concrete new construction. The most significant difference between these sites is social geography. Simply put, most are located in neighborhoods where poverty and dependence on public assistance are normative. A few are located in neighborhoods where poverty is not normative and upward mobility is more likely. To put this all in perspective, the peak unemployment rate in Florida during the Great Recession was 11.2%. That means that employment prospects in the neighborhoods producing tax credit applications during normal – even good times – are worse than most people experienced during the bleakest economic period in living memory.

Looking Ahead - Fair Housing Implications

The Corporation is in the process of updating the rules which guide the allocation of competitive resources, as well as the Qualified Allocation Plan. These guidelines will be operationalized in future RFAs. If Florida is committed to fair housing, it must recognize that where a person lives, especially during childhood, has a a significant impact on her opportunities for upward mobility. Our housing production programs should not be focused on warehousing the poor and keeping them in a position of dependence. Instead, we should expand the options available to low-income households and use the tax credit program to create housing opportunities in otherwise inaccessible neighborhoods.

 

Sources:

Florida Housing Finance Corporation RFA 2017-112; RFA 2017-112 Applications Submitted Report

American Community Survey 2016 5-yr Average tables: S2301; S2201; S1501; S1701

 

 

Who wins the most competitive tax credit awards in Florida?

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Who wins the most 9% tax credit awards in Florida? The question proved difficult to answer and some major caveats are in order. During the three-year period of 2014, 2015, and 2016, the Florida Housing Finance Corporation received 702 applications for 9% tax credits. The Florida Housing Board of Directors approved preliminary awards for 85 of these. Subsequent protests led to final orders and settlements which resulted in a few additional awards, as well as some of the 85 awarded deals being deemed ineligible. I used applications and preliminary awards for the information below, I’ll correct for additional awards and ineligible applications another time. The award amount comes from preliminary awards (based on figures provided by applicants), not from final credit underwriting reports.

During the period evaluated (2014, 2015, and 2016) it was often difficult to tell exactly who was applying for tax credits. Actual applicant entities are created for a specific property; similarly, the names of developer entities listed in applications often don’t reflect the parent organization. For this reason, I used the contact person listed in the application. One person who is especially active (and successful) changed organizations during the time-period evaluated. I decided to combine his applications from both employers, which include the same PHA co-developer. His former employer submitted additional applications, but did not win any preliminary awards. Obviously, in this case, the person and not the organization is critical.

Another name appeared as the contact for several applications, some of which were successful. The name is listed on CAHP’s website as a member associated with an organization with which I am unfamiliar. Searching for the applicant and developer names on Sunbiz, I found that McCormack Baron Salazar is part of the ownership structure for each of them. Accordingly, I added that organization to the developer column for those applications.

A few organizations submit applications under different contact names; I consolidated these into a single record for the rankings below. There are some practical difficulties gleaning this information from Florida Housing’s website. Several applicants write their names differently on different applications. For example, “Matthew” is sometimes “Matt”; “Elizabeth” is sometime “Liz”; and “Kimberly” is sometimes “Kim”. Similarly, “Jr.” and “Sr.” appear inconsistently and sometimes wihtout the period. As I imported these names into Excel, I made the names consistent, removed all periods, and trimmed excessive spaces (e.g. “John Q.   Doe” became “John Q Doe”). To keep things simple, I limited the evaluation to the Geographic RFAs, Preservation RFAs, and Revitalization RFAs.

The following RFAs were evaluated:

RFA 2014-104, RFA 2014-106, RFA 2014-114, RFA 2014-115, RFA 2014-116

RFA 2015-104, RFA 2015-106, RFA 2015-107, RFA 2015-108, RFA 2015-111, RFA 2015-113

RFA 2016-110, RFA 2016-113, RFA 2016-114, RFA 2016-116

I did not include solicitations which involved non-competitive funding, credits paired with SAIL, or other more narrowly focused RFAs (e.g. housing for persons with a disabling condition). In order to focus in on regular competitors, I filtered out all applicants who had submitted fewer than 4 applications over the three-year period.

The results are presented below in three ways: 1) highest percentage of wins (preliminary awards as a percentage of applications submitted); 2) total number of preliminary awards; and 3) total amount of the preliminary awards (annual tax credit requested in application).

Top 10 - Highest Percentage of Preliminary Awards

Contact PersonDeveloper(s)Number of AppsPreliminary AwardsPercentageTotal Request ($)
Robert G HoskinsNurock5240.00%4,671,000
Paula M Rhodes/Lori Harris/Brian D EvjenNorstar20630.00%8,049,398
Oscar A SolGreen Mills10330.00%4,275,000
Alexander B KissBanyan7228.57%3,020,000
Eileen M PopeTampa PHA/Banc of America4125.00%2,110,000
Eugenia AndersonGibraltar Development Partners/McCormack Baron Salazar4125.00%1,660,000
Hana K EskraGorman4125.00%365,009
James R Hoover/Stephen A FrickVestcor27622.22%8,860,852
Elizabeth WongAtlantic Pacific23521.74%10,467,111
Brianne E HeffnerSouthport47817.02%8,156,000

Top 10 - Number of Preliminary Awards

Contact PersonDeveloper(s)Number of AppsPreliminary AwardsPercentageTotal Request ($)
Brianne E HeffnerSouthport47817.02%8,156,000
Matthew RiegerHTG73810.96%13,358,687
David O DeutchPinnacle46715.22%11,176,000
Paula M Rhodes/Lori Harris/Brian D EvjenNorstar20630.00%8,049,398
James R Hoover/Stephen A FrickVestcor27622.22%8,860,852
Elizabeth WongAtlantic Pacific23521.74%10,467,111
Kimberly MurphyRoyal American27414.81%5,402,091
Jonathan L WolfWendover32412.50%5,839,370
Oscar A SolGreen Mills10330.00%4,275,000
Alberto Milo JrRelated30310.00%3,848,855

Top 10 – Total Amount of Preliminary Awards (annual tax credit requested)

Contact PersonDeveloper(s)Number of AppsPreliminary AwardsPercentageTotal Request ($)
Matthew RiegerHTG73810.96%13,358,687
David O DeutchPinnacle46715.22%11,176,000
Elizabeth WongAtlantic Pacific23521.74%10,467,111
James R Hoover/Stephen A FrickVestcor27622.22%8,860,852
Brianne E HeffnerSouthport47817.02%8,156,000
Paula M Rhodes/Lori Harris/Brian D EvjenNorstar20630.00%8,049,398
Jonathan L WolfWendover32412.50%5,839,370
Kimberly MurphyRoyal American27414.81%5,402,091
Robert G HoskinsNurock5240.00%4,671,000
Oscar A SolGreen Mills10330.00%4,275,000

A quick summary of applications reveals a few important pieces of information.

First, there are very few active organizations consistently pursuing tax-credit financing in Florida. Only 37 organizations submitted 4 or more tax credit applications during 2014, 2015, and 2016. Of those, only 28 won a single preliminary award. Among those 28 organizations, the median developer submitted 13 applications over the three-year period. Those applications yielded the median developer 2 preliminary awards; a success rate of 15.4%.

Second, those few active professional developers utilize very different strategies. HTG submitted 26 applications (55%) more than Southport, but ended up with the same number of preliminary awards. However, HTG’s deals are much larger, and the total amount of its preliminary awards is 63.7% larger than that of Southport. (I’ll evaluate the geographic dispersion of applications and wins another time. Presumably there is a relationship between the firms’ performance and the areas where they operate). HTG stands apart in its successful use of what I’ll call a “brute force” strategy. Although all of the top ten developers – by any of the measures above – submit many more applications than their competitors, HTG submitted 5x the median number of applications. Although the company’s success rate is well below median, the sheer volume of applications yielded a full pipeline of deals (without even counting any 4%/SAIL awards). Conversely, some organizations, especially those which frequently partner with PHAs, have success rates 2-3x that of the median competitor.  Norstar won 6 preliminary awards from just 20 applications. Roughly half of the regular competitors submitted around 10 applications during the three-year period, winning 1 or 2 preliminary awards. Again, an important caveat is that the protest process can lead to additional funded deals. Therefore, this quick evaluation does not reflect each and every 9% tax credit award in Florida.

Third, some developers are more successful than others. Given the role of the “lottery” as a tie-breaker, as well as the impact of the county award tally, it may be more accurate to say that some developers are luckier than others. Either way, some developers persevere in the face of loss over and over. One developer submitted 30 applications during the three-year period without winning a single preliminary award. That means someone spent $90,000 in application fees, did not win, and continues to compete for tax credit funding. Conversely, Atlantic Pacific submitted just 23 applications, which yielded more than $100,000,000 in tax credit equity.

Thank you for reading. Feel free to check out the data I used. If you see any errors, please leave a comment below.