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Continuum of Care Program Continuum of Care Program

Continuum of Care Program - PowerPoint Presentation

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Continuum of Care Program - PPT Presentation

Solicitation of Comment on Continuum of Care Formula Docket No FR5476N044 Clyde Barr Policy Analyst cbarrmainehousingorg 2076245772 Current PPRN Calculation Combination of The formula used to award ESG program grant funds and ID: 611716

coc formula funding alt formula coc alt funding poverty cocs pit decrease formulas south affordability gap thoughts 369 hybrid

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Slide1

Continuum of Care Program:Solicitation of Comment on Continuum of Care FormulaDocket No. FR5476N044

Clyde Barr

Policy

Analyst

cbarr@mainehousing.org

207.624.5772Slide2

Current PPRN Calculation

Combination of

The formula used to award ESG program grant funds and

CDBG fundsCurrent CDBG “dual formula” system:Larger of the two calculations assigned, less a pro rata reduction**ensures the total amount allocated is within the amount appropriated for fundingSlide3

Previous Comments

Not representative of the number of individuals & families experiencing homelessness in their geographic area

CDBG formula was not appropriate for PPRN

Disliked the reliance on “urban blight” as reflected in the age of the housing stockpredominantly from western States, counties, and citiesOpposed to reductions for renewal projectsSlide4

Developing New PPRN FormulasHUD sought to maintain the basic structureData sources need to be:

Relevant

Accurate

TimelyReadily availableChose not to incorporate PIT directlyUsed average of two yearsSlide5

Overview of Proposed FormulasGoal: to approximate the actual homeless need in communities Diminished reliance

on annual PIT

P

re 1940s housing & Overcrowding not includedSlide6

Overview of Proposed Formulas

Formula A

Formula

BFormula CFormula D10% * population15% * poverty25% * affordability gap25% * rent-burdened ELI households25% * rental units25% * poverty25% * affordability gap25% * rent-burdened ELI households

25% * rental units

25% *

population

25% * poverty

50% * hybrid factor

25% * poverty

25% * affordability gap

50% *

hybrid factorSlide7

Alt Formula

“A”

COCNUM

COCNAME

PPRN15

Baseline Allocation

Alt Formula

$ Diff

PCT Diff

ME-500

Maine Balance of State

CoC

$3,712,281

$4,157,086$4,288,146$575,86515.51%ME-502Portland CoC$1,222,088$1,884,953$624,340-$597,748-48.91%ME-5**One Maine CoC$4,934,369$6,042,039$4,778,650-$155,719-3.16%

FORMULA WEIGHTS PEARSON’S CORRELATION10% * population No significant correlation15% * poverty .15325% * affordability gap .31025% * rent-burdened ELI Households .33625% * rental units .444

34% of

CoCs

funding could decrease between $307 - $25,955,807

Slide8

Alt Formula

“B”

COCNUM

COCNAME

PPRN15

Baseline Allocation

Alt Formula

$ Diff

PCT Diff

ME-500

Maine Balance of State

CoC

$3,712,281

$4,157,086$4,205,686$493,40513.29%ME-502Portland CoC$1,222,088$1,884,953$631,500-$590,588-48.33%ME-5**One Maine CoC$4,934,369$6,042,039$4,703,350-$231,019-4.68%FORMULA WEIGHTS PEARSON’S CORRELATION25% * poverty .15325

% * affordability gap .310 25% * rent-burdened ELI Households .33625% * rental units .444

35% of

CoCs

funding could decrease between $646 - $25,410,952

Slide9

Alt Formula

“C”

COCNUM

COCNAME

PPRN15

Baseline Allocation

Alt Formula

$ Diff

PCT Diff

ME-500

Maine Balance of State

CoC

$3,712,281

$4,157,086$4,254,856$542,57514.62%ME-502Portland CoC$1,222,088$1,884,953$612,211-$609,877-49.90%ME-5**One Maine CoC$4,934,369$6,042,039$4,536,819-$397,550-8.06%

FORMULA WEIGHTS

PEARSON’S CORRELATION

25% * population

No significant correlation

25% * poverty .153

50% * hybrid .393

37% of

CoCs

funding could decrease between $406 - $25,701,362Slide10

Alt Formula

“D”

COCNUM

COCNAME

PPRN15

Baseline Allocation

Alt Formula

$ Diff

PCT Diff

ME-500

Maine Balance of State

CoC

$3,712,281

$4,157,086$3,795,378$83,0972.24%ME-502Portland CoC$1,222,088$1,884,953$701,758-$520,330-42.58%ME-5**One Maine CoC$4,934,369$6,042,039$4,166,388-$767,981-15.56%FORMULA WEIGHTS PEARSON’S CORRELATION25% * poverty .15325% * affordability gap .310 50% * hybrid factor .393

37% of

CoCs

funding could decrease between $8,279 - $22,436,373

Slide11

A Deeper Look. . .100 Largest PIT 38% - 44% of

CoCs

see decreased fundingMean PIT: 4,075Median PIT: 2,165100 Smallest PIT23% - 26% of CoCs see decreased fundingMean PIT: 189Median PIT: 185Slide12

Big Picture of “Alt” Formulas

%

Negative Funding by Census Regions

RegionAlt “A”Alt “B”Alt “C”Alt “D”National34%35%37%37%

New England

54%

54%

50%

54%

Mid-Atlantic

65%

70%

67%

74%Midwest ENC42%44%45%44%Midwest WNC35%35%39%42%South Atlantic22%22%25%28%East South13%13%13%13%West South15%15%18%18%Mountain11%11%28%17%Pacific24%24%29%24%Slide13

Custom Calculation

COCNUM

COCNAME

PPRN15

Baseline Allocation

Alt Formula

$ Diff

PCT Diff

ME-500

Maine Balance of State

CoC

$3,712,281

$4,157,086

$5,194,189$1,481,90839.92%ME-502Portland CoC$1,222,088$1,884,953$841,561-$380,527-31.14%ME-5**One Maine CoC$4,934,369$6,042,039$5,705,002$770,63315.62%

FORMULA WEIGHTS

PEARSON’S CORRELATION

15%

* poverty .153

15%

* pre-1940

housing .113

20% * affordability gap .310

50%

* hybrid .393

37% of

CoCs

funding could decrease between $8,531 - $18,982,831Slide14

% Difference

Maine

Alt FormulasCOCNUMPPRN15Alt AAlt BAlt CAlt D

Custom

ME-500

$3,712,281

15.51%

13.29%

14.62%

2.24%

39.92%

ME-502

$1,222,088-48.91%-48.33%-49.90%-42.58%-31.14%ME-5**$4,934,369-3.16%-4.68%-8.06%-15.56%15.62%Including pre-1940s housing has a positive impact in the northeast and a negative impact in the west and south AtlanticSlide15

“Alt” Formulas vs. Custom

%

Negative Funding by Census Regions

RegionAlt “A”Alt “B”Alt “C”Alt “D”CustomNational34%

35%

37%

37%

37%

New England

54%

54%

50%

54%

39%Mid-Atlantic65%70%67%74%54%Midwest ENC42%44%45%44%43%Midwest WNC35%35%39%42%39%South Atlantic22%22%25%28%40%East South13%13%13%13%13%West South15%15%18%18%24%Mountain11%11%28%17%28%Pacific24%24%29%24%29%Slide16

HUD wants to know our thoughts:Slide17

Thoughts on. . .The four proposed formula options

More than 1/3 of

CoCs

could see funding decrease with all proposed funding formulasNew England & Mid-Atlantic states are disproportionately affectedSlide18

Thoughts on. . .Factors and corresponding weights

Including pre-1940s housing increases funding in

the

Models with the hybrid factor have the most CoCs that could lose fundingThere is not a one size fit allSlide19

Thoughts on. . .DUAL OR MULTI-FORMULA SYSTEMSupport a dual or multi-formula

system

Regional

differences should be accounted in funding systemPre-1940s housingVariable’s impact will decrease with timeSlide20

Thoughts on. . .language that would prevent a CoC

from losing more than a certain portion of their

PPRN

YES – HUD should adopt language that would prevent a CoC from losing more than X% of its fundingSlide21

Thoughts on. . . Other comments on CoC

formulas

ESG 75/25 split should be discontinued

75/25 ESG Entitled/Non-entitled SplitAlt AAlt BAlt CAlt D

MCoC

-35%

-36%

-36%

-38%

PCoC

-32%

-32%

-36%

-28%Other comments on CoC formulasESG 75/25 split should be discontinued75/25 ESG Entitled/Non-entitled SplitAlt AAlt BAlt CAlt DMCoC-35%-36%-36%-38%PCoC-32%-32%-36%-28%Slide22

Thoughts on. . . Other comments on CoC formulas

Declining

importance of

annual PIT a good ideaHypothesis, including more robust count data from new HUD Performance Metric 3 (number of homeless persons) could:Smooth out funding discrepancies Provide a truer picture of needSlide23

Questions?