HomeMy WebLinkAbout090120-09.2 ADMINISTRATIVE STAFF REPORT 9.2
TO: Mayor and Town Council September 1, 2020
SUBJECT: Resolution No. 63-2020, supporting the Contra Costa County Mayors
Conference endorsement of the ‘Plan Bay Area 2050’ Methodology as the
basis for the 2022-2030 Regional Housing Needs Allocation (RHNA) under
review by the Association of Bay Area Governments
BACKGROUND
In 1969, the state mandated that all California cities, towns and counties must plan for the
housing needs of all residents—regardless of income. This state mandate is called the
Housing Element and Regional Housing Needs Allocation (RHNA). As part of RHNA, the
California Department of Housing and Community Development (HCD) determines the
total number of new homes each metropolitan region needs to build—and how affordable
those homes need to be—in order to meet the housing needs of people at all income levels.
The Association of Bay Area Governments (ABAG) is the San Francisco Bay Area’s
metropolitan planning organization (MPO) and is required by state law to conduct the
RHNA process every eight years. In practice, this means that ABAG would distribute the
region’s share of assigned housing to each of its cities and counties.
It’s critical to understand that cities are not required to build housing but rather plan for it by
ensuring that there are enough appropriately zoned lands to accommodate the assigned
units. Each local government does so by updating the Housing Element of its general plan
to show the parcels on which their assigned their housings could be built.
DISCUSSION
In June 2020, State HCD determined that the Bay Area region must plan to accommodate
441,176 housing units over the upcoming 8-year housing element cycle (2022-2030).
According to ABAG, this represents a 135% increase from the previous housing assignment.
ABAG’s Housing Methodology Committee (HMC) – comprised of region’s elected officials,
jurisdictional staff, and community stakeholders – is charged with evaluating and making
a recommendation on how these housing units would be allocated to the Bay Area’s 101
cities and 9 counties. As a very high level, the most significant decision that is being
considered by the HMC is related to what “baseline data” should be used to allocate these
housing units. Three methods have been discussed at length and Option #3 is being
advanced by the HMC:
RHNA Housing Methodology 2 September 1, 2020
1.“2019 Baseline Data” Methodology: This would use the location of existing households
(in year 2019) as the basis for allocating additional future housing units. In summary,
this methodology. The Town does not support this methodology as it would:
•Allocate more housing units into suburban communities
•Does not place housing units in proximity to jobs
•Does not address transit/transportation congestion, exacerbates long commutes
•Does not result in GHG emissions reductions
•Continue the narrative of social inequity
2.“Plan Bay Area 2050” Methodology: This would use the recently released Plan Bay
Area 2050 document’s growth projections as the basis for allocating the region’s
assigned housing units. The Town does support this methodology as it would:
•Be consistent with Plan Bay Area 2050 which – among other things – strives to
reduce transit and transportation congestion as well as greenhouse gas emissions
by placing units closer to job centers; and therefore
•Allocates more housing units in proximity to major job centers, such as those
located in south bay communities
3.“Future Year 2050 Households (Draft Blueprint)” Methodology: This is considered
a comprise hybrid, a “middle road” between the first two methodologies.
The Town does not support this methodology. While it would assign fewer housing
units to the suburban parts of the Bay Area than the “2019 Baseline Data” method,
the housing assignment still far exceeds the infrastructure capacity (water, sewer,
roadways) of communities at the edges of the metropolitan region.
The graphs below and in Attachment B illustrate the significant differences between using
the “2019 Baseline Data” (shown in brown bars) and the “Plan Bay Area 2050” Methods.
RHNA Housing Methodology 3 September 1, 2020
Contra Costa Mayors’ Conference
Danville representatives facilitated a discussion of the RHNA Methodology options at the
Contra Costa Mayors’ Conference at its August 6, 2020 meeting. Consequently, the Mayors’
Conference voted unanimously in support of using the “Plan Bay Area 2050” methodology.
This is consistent with Contra Costa’s decades long effort to minimize extraordinary
commutes through achieving a greater jobs-housing balance.
On August 7, 2020, a letter was forwarded to the ABAG Housing Methodology Committee
Chair reflecting this perspective (Attachment C).
PUBLIC CONTACT
Posting of the meeting agenda serves as notice to the general public.
FISCAL IMPACT
None.
RECOMMENDATION
Adopt Resolution No. 63-2020, supporting the Contra Costa County Mayors’ Conference
endorsement of the ‘Plan Bay Area 2050’ Methodology as the basis for the 2022-2030
Regional Housing Needs Allocation (RHNA) under review by the Association of Bay Area
Governments.
Prepared and Reviewed by:
Tai J. Williams
Assistant Town Manager
Attachments: A - Resolution No. 63-2020
B - Contra Costa Public Managers’ Association Letter to the Contra Costa
Mayors’ Conference, including a comparison of RHNA Methodology
Concepts and Potential Jurisdiction Allocations, dated August 3, 2020
C - Contra Costa Mayors Conference Letter dated August 7, 2020
RESOLUTION NO. 63-2020
SUPPORTING THE CONTRA COSTA COUNTY MAYORS’ CONFERENCE
ENDORSEMENT OF THE ‘PLAN BAY AREA 2050’ HOUSING ALLOCATION
METHODOLOGY AS THE BASIS FOR THE 2022-2030 REGIONAL HOUSING
NEEDS ALLOCATION (RHNA) UNDER REVIEW BY THE
ASSOCIATION OF BAY AREA GOVERNMENTS
WHEREAS, the Contra Costa County jurisdictions’ recognize and respect the local needs
and character of each community, and have a shared interest in maintaining local control
of decision-making related to all aspects of the management of each jurisdiction,
including but not limited to financial, land use and development, and growth-related
matters; and
WHEREAS, in June 2020, the California Department of Housing and Community
Development (HCD) determined that the San Francisco Bay region must plan to
accommodate 441,176 housing units over the upcoming 8-year housing element cycle
(2022-2030); and
WHEREAS, according to Association of Bay Area Governments (ABAG), this represents
a 135% increase from the previous housing element assignment; and
WHEREAS, ABAG has formed a Housing Methodology Committee (HMC) that is
charged with evaluating and making a recommendation on how these housing units
would be allocated to the Bay Area’s 101 cities and 9 counties; and
WHEREAS, at a very high level, the HMC is considering a variety of options and factors
for allocating housing units; and
WHEREAS, selecting a ‘baseline data’ methodology has the greatest impact on Contra
Costa communities and ensuring that there is a match between housing assignments and
job centers; and
WHEREAS, the Contra Costa Mayors’ Conference at their August 6, 2020 meeting
discussed and unanimously supported the ‘Plan Bay Area 2050 Baseline Data
Methodology’; and
WHEREAS, the Contra Costa Mayors’ Conference sent a letter of support for the ‘Plan
Bay Area 2050 Baseline Data Methodology’ on August 7, 2020; now, therefore, be it
RESOLVED, that the Town Council re-affirm the Contra Costa Mayors’ Conference letter
of support for the support for the ‘Plan Bay Area 2050 Baseline Data Methodology’ which
is consistent with decades-long region-wide efforts to:
DocuSign Envelope ID: 36152D43-0B8E-487C-BD51-9803C27853DA
ATTACHMENT A
PAGE 2 OF RESOLUTION NO. 63-2020
•Encourage housing development proximate to job centers, which would in turn
•Reduce transit and transportation congestion, helping to alleviate long regionwide
commute times; and
•Reduce greenhouse gas emissions, consistent with AB 32, SB 375 and the
Metropolitan Transportation Commission’s (MTC) Plan Bay Area 2050 policy
framework.
APPROVED by the Danville Town Council at a regular meeting on September 1, 2020 by
the following vote:
AYES:
NOES:
ABSTAINED:
ABSENT:
______________________________
MAYOR
APPROVED AS TO FORM: ATTEST:
_______________________________ ______________________________
CITY ATTORNEY CITY CLERK
DocuSign Envelope ID: 36152D43-0B8E-487C-BD51-9803C27853DA
The Contra Costa Public Managers’ Association (PMA) is an organization comprised of public managers representing the nineteen cities and county
of Contra Costa. The Contra Costa PMA works collaboratively to share information, discuss and find solutions on issues of regional significance.
CONTRA COSTA PMA MEMBERS
Antioch – R. Bernal Lafayette – N. Srivatsa Pleasant Hill – J. Catalano
Brentwood – T. Ogden Martinez – E. Figueroa/M. Chandler Richmond – L. Snideman
Clayton – F. Robustelli (Interim) Moraga – C. Battenberg San Pablo – M. Rodriguez /R. Schwartz
Concord – V. Barone / K. Trepa Oakley – B. Montgomery San Ramon – J. Gorton/S. Spedowsfski
Danville – J. Calabrigo /T. Williams Orinda – S. Salomon Walnut Creek – D. Buckshi/T. Killgore
El Cerrito – K. Pinkos/A. Orologas Pinole – A. Murray/H. De La Rosa Contra Costa County – D. Twa
Hercules – D. Biggs Pittsburg – G. Evans
DATE: August 3, 2020
TO: Gabe Quinto, Conference Chair
Gary Pokorny, Executive Director
Contra Costa Mayors’ Conference
FROM: Eric Figueroa, Chair
Contra Costa Public Managers’ Association
RE: Update: Regional Housing Needs Allocation (RHNA) Methodologies
______________________________________________________________________________
The Contra Costa Public Managers’ Association (PMA) would like to provide an update
on recent RHNA process and its potential impacts to Contra Costa communities.
In June 2020, the California Department of Housing and Community Development
(HCD) determined that the San Francisco Bay region must plan to accommodate 441,176
housing units over the upcoming 8-year housing element cycle (2022-2030). According
to Association of Bay Area Governments (ABAG), this represents a 135% increase from
the previous housing assignment.
ABAG’s Housing Methodology Committee (Committee) – comprised of region’s elected
officials, jurisdictional staff, and community stakeholders – is charged with evaluating
and making a recommendation on how these housing units would be allocated to the Bay
Area’s 101 cities and 9 counties. As a very high-level summary, the Committee is
weighing options related to:
1.What should be used as the “baseline data” for allocating units? Two major
methods are under consideration:
a.“2019 Baseline” Methodology
b.“2050 Plan Bay Area Blueprint” Methodology
ATTACHMENT B
Page 2
2.What “factors” should be used to refine the baseline data used?
3.What approach should be used to distribute units based on income levels, an
income shift or bottom up approach?
DISCUSSION
Methodology - Baseline Data
The selection of ‘baseline data’ methodology has the greatest significance to Contra Costa
communities, as illustrated below and Exhibit A (attached):
Comparison of Methodologies – Sample of ‘Large’ Contra Costa Communities
Comparison of Methodologies – Sample of ‘Middle Sized’ Communities
Page 3
The “2019 Baseline” Methodology would use the location of existing households (in
year 2019) as the basis for allocating housing units. This methodology:
• Allocates more housing units into suburban communities
• Does not place housing units in proximity to jobs
• Does not address transit/transportation congestion, exacerbates long commutes
• Does not result in GHG emissions reductions
• Continues the narrative of social inequity
The “2050 Plan Bay Area” Methodology would use the recently released Plan Bay Area’s
growth projections as the basis for allocating the region’s assigned housing units. This
methodology would:
• Consistent with Plan Bay Area 2050 which – among other things – strives to
reduce greenhouse gas emissions by placing units closer to job centers; therefore
• Allocates more housing units in south bay communities with mega job centers
The ABAG Housing Methodology Committee is scheduled to:
• August 13, 2020: Meet to finalize consideration of the preferred ‘baseline data’
methodology, refinement ‘factors’, and income allocation.
• September 18, 2020: Forward recommendation to ABAG Executive Board
RECOMMENDATION
The Contra Costa Public Managers Association recommends that the Contra Costa
Mayors Conference consider two actions:
1. Request that ABAG defer selection of a baseline methodology for 3-6 months.
This deferral is appropriate given that its cities and counties – currently focusing
on the need to react and respond to the ongoing global pandemic while dealing
with the resultant economic fallout - need additional time to consider the far-
reaching implications of this decision.
2. Consider issuing a letter of support for “2050 Plan Bay Area” Methodology,
which would reduce greenhouse gas emissions – as required by state law -- and
strikes a more equitable jobs/housing balance for Contra Costa County and the
majority of its cities.
EXHIBIT A
Attachment from ABAG Housing Methodology Committee Meeting
on July 9, 2020 (Item 6a Attachment A)
Plan Bay Area 2050 and RHNA Methodology Concepts
Jurisdiction Potential Allocations
4120
8910
4120
8960
7710
3950
30900
24860
34840
2808026280
33580
15770
8220
16720
88107460
14280
1940
8340
1740
7510
9570
2590
1750
5230
1840
5520
7190
2650
53710
80420
57000
85160
59160
44840
77707270 81707650
10530 11160
4890
6170
4860
6130
8750
6890
1412014400
11680120101187011740
108220
55690
100350
5167052090
100160
13540
10280
13890
106809290
12020
1280
4300
1420
4760
6600
2120
2200
5340
2570
6260
7700
3790
3220
6570
3190
65806390
4350
770
6640
710
6150
7910
1640
Unincorporated Contra Costa (2019 hhs: 59109)
(Contra Costa County)
Unincorporated Sonoma (2019 hhs: 54038)
(Sonoma County)
Vallejo (2019 hhs: 40728)
(Solano County)
Santa Clara (2019 hhs: 46070)
(Santa Clara County)
Santa Rosa (2019 hhs: 64977)
(Sonoma County)
Sunnyvale (2019 hhs: 57327)
(Santa Clara County)
Unincorporated Alameda (2019 hhs: 48810)
(Alameda County)
Oakland (2019 hhs: 162246)
(Alameda County)
San Francisco (2019 hhs: 365197)
(San Francisco County)
San Jose (2019 hhs: 321556)
(Santa Clara County)
San Mateo (2019 hhs: 39428)
(San Mateo County)
Berkeley (2019 hhs: 47604)
(Alameda County)
Concord (2019 hhs: 44367)
(Contra Costa County)
Fremont (2019 hhs: 73263)
(Alameda County)
Hayward (2019 hhs: 47532)
(Alameda County)
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s
(B
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0
2,000
4,000
6,000
8,000
0
2,000
4,000
6,000
0
2,000
4,000
6,000
8,000
0
5,000
10,000
15,000
0
30,000
60,000
90,000
0
5,000
10,000
0
2,000
4,000
6,000
0
2,000
4,000
6,000
0
20,000
40,000
60,000
80,000
0
3,000
6,000
9,000
0
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5,000
7,500
0
2,500
5,000
7,500
0
10,000
20,000
30,000
0
5,000
10,000
15,000
0
2,500
5,000
7,500
10,000
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Largest 15 (by 2019 households)
Page 1
ABAG HMC Meeting #8 | July 9, 2020
3250
5180
3090
49804980
3240
590
2080
500
18001730
490
4650
2970
4840
31202780
4280
3010
4500 3840
57905210
3610
360
1220
340
11601060
360
180
1280
190
1340
1730
260
270
810
220
640650
230
250
3160
200
25802540
220
280
630
300
690
950
690
1530
2040
1610
2140
3120
2460
570
810
460
650640
440
110
650
110
680
1000
210
1840
3580
1910
3720
5490
2870
4560
2590
4100
23502020
3420
7780
4160
7400
40103250
5800
47504290 3770343034803820
Daly City (2019 hhs: 32151)
(San Mateo County)
Danville (2019 hhs: 15670)
(Contra Costa County)
Dixon (2019 hhs: 6174)
(Solano County)
Dublin (2019 hhs: 21502)
(Alameda County)
Campbell (2019 hhs: 17177)
(Santa Clara County)
Clayton (2019 hhs: 4041)
(Contra Costa County)
Corte Madera (2019 hhs: 3978)
(Marin County)
Cupertino (2019 hhs: 20035)
(Santa Clara County)
Belmont (2019 hhs: 10658)
(San Mateo County)
Benicia (2019 hhs: 10666)
(Solano County)
Brentwood (2019 hhs: 19252)
(Contra Costa County)
Burlingame (2019 hhs: 12465)
(San Mateo County)
Alameda (2019 hhs: 30742)
(Alameda County)
Albany (2019 hhs: 6552)
(Alameda County)
American Canyon (2019 hhs: 5884)
(Napa County)
Antioch (2019 hhs: 33875)
(Contra Costa County)
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9
h
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s
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a
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Bo
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p
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A
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(S
c
a
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d
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R
H
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D
)
Cr
e
s
c
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t
(
B
l
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p
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b
a
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l
i
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)
Bo
t
t
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3
F
a
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s
(B
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p
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b
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)
Al
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c
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r
20
1
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h
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h
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h
a
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Cr
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t
(2
0
1
9
H
H
b
a
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l
i
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)
Bo
t
t
o
m
-
U
p
3
F
a
c
t
o
r
s
(2
0
1
9
H
H
b
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l
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)
Bl
u
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p
r
i
n
t
A
l
l
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c
a
t
i
o
n
(S
c
a
l
e
d
t
o
R
H
N
D
)
Cr
e
s
c
e
n
t
(
B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
Bo
t
t
o
m
-
U
p
3
F
a
c
t
o
r
s
(B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
0
2,000
4,000
0
1,000
2,000
3,000
4,000
0
2,000
4,000
6,000
8,000
0
1,000
2,000
3,000
4,000
0
250
500
750
1,000
0
1,000
2,000
3,000
0
200
400
600
800
0
250
500
750
1,000
0
250
500
750
1,000
1,250
0
500
1,000
1,500
0
200
400
600
800
0
1,000
2,000
3,000
0
1,000
2,000
3,000
4,000
5,000
0
500
1,000
1,500
2,000
0
1,000
2,000
3,000
4,000
5,000
0
2,000
4,000
6,000
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Middle Cities (by 2019 households)
Page 2
ABAG HMC Meeting #8 | July 9, 2020
290
770
420
11501170
470
5090
4010
5430
4290
6050
7600
300
500
320
530
750
450
700
1180
540
920980
550
790
1230
950
14901680
1150
600
2570
520
22602060
560
190
890
220
1030
1350
410
50704640 45504180
5040 5410
2800
880
4160
13001030
3230
16801840 16601820
2550 2310
170
830
150
760
620
120
1220
2360
1210
2370
1810
900
250
650
180
480550
220
260
480
270
500
720
380
1050
1900
870
15801550
830
60
2500
50
22002040
140
Larkspur (2019 hhs: 6020)
(Marin County)
Livermore (2019 hhs: 31124)
(Alameda County)
Los Altos (2019 hhs: 11181)
(Santa Clara County)
Los Gatos (2019 hhs: 12584)
(Santa Clara County)
Healdsburg (2019 hhs: 4603)
(Sonoma County)
Hercules (2019 hhs: 8347)
(Contra Costa County)
Hillsborough (2019 hhs: 3843)
(San Mateo County)
Lafayette (2019 hhs: 9591)
(Contra Costa County)
Fairfield (2019 hhs: 37344)
(Solano County)
Foster City (2019 hhs: 12696)
(San Mateo County)
Gilroy (2019 hhs: 15725)
(Santa Clara County)
Half Moon Bay (2019 hhs: 4434)
(San Mateo County)
East Palo Alto (2019 hhs: 7202)
(San Mateo County)
El Cerrito (2019 hhs: 10346)
(Contra Costa County)
Emeryville (2019 hhs: 6381)
(Alameda County)
Fairfax (2019 hhs: 3386)
(Marin County)
Al
l
o
c
.
p
e
r
20
1
9
h
o
u
s
e
h
o
l
d
s
h
a
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Cr
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t
(2
0
1
9
H
H
b
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l
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)
Bo
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-
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3
F
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s
(2
0
1
9
H
H
b
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)
Bl
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p
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(S
c
a
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d
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R
H
N
D
)
Cr
e
s
c
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n
t
(
B
l
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p
r
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t
b
a
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l
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)
Bo
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3
F
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s
(B
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p
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b
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)
Al
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c
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20
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(2
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Cr
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(
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)
Bo
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(B
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(2
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Bo
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(2
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)
Bl
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p
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A
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a
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(S
c
a
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d
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R
H
N
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)
Cr
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s
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t
(
B
l
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p
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b
a
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l
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)
Bo
t
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-
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3
F
a
c
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s
(B
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p
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b
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Al
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20
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h
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Cr
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s
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n
t
(2
0
1
9
H
H
b
a
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l
i
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)
Bo
t
t
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m
-
U
p
3
F
a
c
t
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r
s
(2
0
1
9
H
H
b
a
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l
i
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)
Bl
u
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p
r
i
n
t
A
l
l
o
c
a
t
i
o
n
(S
c
a
l
e
d
t
o
R
H
N
D
)
Cr
e
s
c
e
n
t
(
B
l
u
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p
r
i
n
t
b
a
s
e
l
i
n
e
)
Bo
t
t
o
m
-
U
p
3
F
a
c
t
o
r
s
(B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
0
200
400
600
0
200
400
600
0
500
1,000
1,500
0
500
1,000
1,500
2,000
2,500
0
1,000
2,000
3,000
4,000
0
1,000
2,000
0
200
400
600
800
0
500
1,000
1,500
2,000
0
500
1,000
1,500
0
1,000
2,000
0
500
1,000
0
2,000
4,000
0
300
600
900
1,200
0
2,000
4,000
6,000
0
200
400
600
0
300
600
900
1,200
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Middle Cities (by 2019 households)
Page 3
ABAG HMC Meeting #8 | July 9, 2020
170
2010
160
1950
2350
310
10300
3660
11110
39903450
9670
940
3160
980
3330
4640
1540
460
1330
390
11501110
370
27002450
28002570
2150 2330
860
1110
710
920910
680
2490
1730
2740
19102280
3360
160
2670
120
21102250
200
20
1220
20
9501000
30
1080
1550
1180
1700
2330
1650
1670
2570
1630
2530
3310
2180
15040
5790
14390
56204480
11130
2920
1620
2680
15001330
2310
15240
6800
14930
67605540
12380
930
1230
970
1290
1930
1600
2020
2500 2140
2660
3650
3120
Orinda (2019 hhs: 6827)
(Contra Costa County)
Pacifica (2019 hhs: 13894)
(San Mateo County)
Palo Alto (2019 hhs: 27629)
(Santa Clara County)
Petaluma (2019 hhs: 22519)
(Sonoma County)
Napa (2019 hhs: 28619)
(Napa County)
Newark (2019 hhs: 14098)
(Alameda County)
Novato (2019 hhs: 20445)
(Marin County)
Oakley (2019 hhs: 11931)
(Contra Costa County)
Milpitas (2019 hhs: 21285)
(Santa Clara County)
Moraga (2019 hhs: 5594)
(Contra Costa County)
Morgan Hill (2019 hhs: 14409)
(Santa Clara County)
Mountain View (2019 hhs: 34195)
(Santa Clara County)
Martinez (2019 hhs: 14522)
(Contra Costa County)
Menlo Park (2019 hhs: 13277)
(San Mateo County)
Mill Valley (2019 hhs: 6201)
(Marin County)
Millbrae (2019 hhs: 8241)
(San Mateo County)
Al
l
o
c
.
p
e
r
20
1
9
h
o
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h
o
l
d
s
h
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Cr
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s
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n
t
(2
0
1
9
H
H
b
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l
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)
Bo
t
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-
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p
3
F
a
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s
(2
0
1
9
H
H
b
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)
Bl
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p
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A
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(S
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a
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d
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R
H
N
D
)
Cr
e
s
c
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n
t
(
B
l
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p
r
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t
b
a
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l
i
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)
Bo
t
t
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-
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p
3
F
a
c
t
o
r
s
(B
l
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p
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t
b
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l
i
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)
Al
l
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c
.
p
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r
20
1
9
h
o
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h
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l
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s
h
a
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Cr
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s
c
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t
(2
0
1
9
H
H
b
a
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l
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)
Bo
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F
a
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s
(2
0
1
9
H
H
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)
Bl
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p
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A
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a
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(S
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a
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d
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R
H
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D
)
Cr
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s
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t
(
B
l
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p
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b
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)
Bo
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F
a
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s
(B
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p
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b
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)
Al
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20
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Cr
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t
(2
0
1
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H
H
b
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)
Bo
t
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3
F
a
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s
(2
0
1
9
H
H
b
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)
Bl
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p
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A
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a
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(S
c
a
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d
t
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R
H
N
D
)
Cr
e
s
c
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n
t
(
B
l
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p
r
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t
b
a
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l
i
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)
Bo
t
t
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-
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p
3
F
a
c
t
o
r
s
(B
l
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p
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b
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i
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)
Al
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c
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20
1
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h
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h
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s
h
a
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Cr
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s
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n
t
(2
0
1
9
H
H
b
a
s
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l
i
n
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)
Bo
t
t
o
m
-
U
p
3
F
a
c
t
o
r
s
(2
0
1
9
H
H
b
a
s
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l
i
n
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)
Bl
u
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p
r
i
n
t
A
l
l
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c
a
t
i
o
n
(S
c
a
l
e
d
t
o
R
H
N
D
)
Cr
e
s
c
e
n
t
(
B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
Bo
t
t
o
m
-
U
p
3
F
a
c
t
o
r
s
(B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
0
1,000
2,000
3,000
0
5,000
10,000
15,000
0
500
1,000
1,500
2,000
0
1,000
2,000
3,000
0
250
500
750
1,000
1,250
0
500
1,000
1,500
2,000
0
1,000
2,000
3,000
0
5,000
10,000
15,000
0
1,000
2,000
0
300
600
900
0
1,000
2,000
3,000
0
1,000
2,000
0
500
1,000
1,500
2,000
0
3,000
6,000
9,000
0
1,000
2,000
3,000
4,000
0
500
1,000
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Middle Cities (by 2019 households)
Page 4
ABAG HMC Meeting #8 | July 9, 2020
70
800
60
760
630
60
50105670
4020458044403750
920
1730
990
1880
2650
1450
1360
3540
1780
46805000
2170
330
720
380
840
1100
540
45704600 4780486048305210
250
1020
180
760860
200
310
960
380
1170
1460
540
1130
2240
1240
2450
3420
1880
41403920
48704640
5890 6550
1310
2010
1610
25002510
1660
34402960 33602900
3710
4220
1090
2220
980
20002220
1120
30
440
30
460
700
80
950
2340
850
21201880
800
4160
5610
3320
45104500
3180
San Leandro (2019 hhs: 30851)
(Alameda County)
San Pablo (2019 hhs: 9036)
(Contra Costa County)
San Rafael (2019 hhs: 22876)
(Marin County)
San Ramon (2019 hhs: 27761)
(Contra Costa County)
Rohnert Park (2019 hhs: 16356)
(Sonoma County)
San Anselmo (2019 hhs: 5293)
(Marin County)
San Bruno (2019 hhs: 15502)
(San Mateo County)
San Carlos (2019 hhs: 11590)
(San Mateo County)
Pleasanton (2019 hhs: 27433)
(Alameda County)
Redwood City (2019 hhs: 29842)
(San Mateo County)
Richmond (2019 hhs: 36352)
(Contra Costa County)
Rio Vista (2019 hhs: 4319)
(Solano County)
Piedmont (2019 hhs: 3863)
(Alameda County)
Pinole (2019 hhs: 6778)
(Contra Costa County)
Pittsburg (2019 hhs: 21136)
(Contra Costa County)
Pleasant Hill (2019 hhs: 13685)
(Contra Costa County)
Al
l
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c
.
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r
20
1
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Cr
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Bo
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F
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Bo
t
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F
a
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s
(2
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Bl
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p
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A
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c
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(S
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d
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R
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Cr
e
s
c
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n
t
(
B
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p
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b
a
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l
i
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Bo
t
t
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m
-
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p
3
F
a
c
t
o
r
s
(B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
0
500
1,000
1,500
2,000
0
200
400
600
0
500
1,000
1,500
2,000
0
2,000
4,000
0
1,000
2,000
3,000
0
2,000
4,000
6,000
0
500
1,000
1,500
2,000
2,500
0
1,000
2,000
3,000
4,000
0
300
600
900
0
1,000
2,000
3,000
4,000
5,000
0
250
500
750
1,000
0
500
1,000
1,500
0
200
400
600
800
0
2,000
4,000
0
1,000
2,000
0
1,000
2,000
3,000
4,000
5,000
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Middle Cities (by 2019 households)
Page 5
ABAG HMC Meeting #8 | July 9, 2020
1160
2120
1040
19201760
920
160
940
170
1020
1480
300
34803200 30002770
3470 3630
600
3530
640
3730
5370
1060
240
830
210
730680
190
390
730
290
550610
310
45704000 41403650
4310 4840
5160
6080
4180
49605090 4560
120
560
130
590
830
180
2330
4500
1800
3470
4280
2160
1820
770
1940
8201100
2820
530
980
570
1060
1480
780
4480
2880
5450
35503430
5300
110
1160
110
1210
1520
130
1960
2650
2180
2960
3390
2570
Vacaville (2019 hhs: 33136)
(Solano County)
Walnut Creek (2019 hhs: 31424)
(Contra Costa County)
Windsor (2019 hhs: 9112)
(Sonoma County)
Unincorporated San Mateo (2019 hhs: 21415)
(San Mateo County)
Unincorporated Santa Clara (2019 hhs: 26599)
(Santa Clara County)
Unincorporated Solano (2019 hhs: 6820)
(Solano County)
Union City (2019 hhs: 20917)
(Alameda County)
Suisun City (2019 hhs: 9114)
(Solano County)
Tiburon (2019 hhs: 3761)
(Marin County)
Unincorporated Marin (2019 hhs: 26421)
(Marin County)
Unincorporated Napa (2019 hhs: 9373)
(Napa County)
Saratoga (2019 hhs: 10887)
(Santa Clara County)
Sausalito (2019 hhs: 4170)
(Marin County)
Sonoma (2019 hhs: 5122)
(Sonoma County)
South San Francisco (2019 hhs: 21147)
(San Mateo County)
Al
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r
20
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Bo
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F
a
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s
(2
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p
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a
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c
a
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d
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R
H
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Cr
e
s
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n
t
(
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l
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p
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b
a
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l
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)
Bo
t
t
o
m
-
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p
3
F
a
c
t
o
r
s
(B
l
u
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p
r
i
n
t
b
a
s
e
l
i
n
e
)
0
2,000
4,000
0
500
1,000
1,500
0
1,000
2,000
3,000
0
200
400
600
800
0
1,000
2,000
3,000
4,000
0
1,000
2,000
0
500
1,000
1,500
0
200
400
600
800
0
200
400
600
0
1,000
2,000
3,000
4,000
5,000
0
2,000
4,000
6,000
0
500
1,000
1,500
2,000
0
500
1,000
1,500
0
1,000
2,000
3,000
0
2,000
4,000
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Middle Cities (by 2019 households)
Page 6
ABAG HMC Meeting #8 | July 9, 2020
30
330
40
360370
30
280340 290350
530 530
0
260
0
230210
-10
20
280
20
290
400
40
110
180
80
130150
90
350
70
500
10070
340
0
350
0
290290
-10
40
430
30
410
330
30
6920
230
9500
320310
9090
260
330 280
360
500
400
30
160
20
120130
20
20
130
20
140
180
40
340
220
350
230
340
510
140
600
130
570
490
110
730
360
790
390
540
1080
St. Helena (2019 hhs: 2492)
(Napa County)
Woodside (2019 hhs: 2011)
(San Mateo County)
Yountville (2019 hhs: 1113)
(Napa County)
Monte Sereno (2019 hhs: 1326)
(Santa Clara County)
Portola Valley (2019 hhs: 1789)
(San Mateo County)
Ross (2019 hhs: 807)
(Marin County)
Sebastopol (2019 hhs: 3334)
(Sonoma County)
Cloverdale (2019 hhs: 3252)
(Sonoma County)
Colma (2019 hhs: 435)
(San Mateo County)
Cotati (2019 hhs: 3071)
(Sonoma County)
Los Altos Hills (2019 hhs: 3034)
(Santa Clara County)
Atherton (2019 hhs: 2284)
(San Mateo County)
Belvedere (2019 hhs: 931)
(Marin County)
Brisbane (2019 hhs: 1913)
(San Mateo County)
Calistoga (2019 hhs: 2100)
(Napa County)
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F
a
c
t
o
r
s
(B
l
u
e
p
r
i
n
t
b
a
s
e
l
i
n
e
)
0
100
200
300
400
500
0
200
400
600
0
300
600
900
0
2,500
5,000
7,500
0
100
200
300
400
500
0
50
100
150
0
50
100
150
0
50
100
150
0
100
200
300
400
500
0
100
200
300
0
100
200
300
400
0
100
200
300
0
200
400
0
100
200
0
100
200
300
400
Alloc. per
2019 household share
Crescent
(2019 HH baseline)
Bottom-Up 3 Factors
(2019 HH baseline)
Blueprint Allocation
(Scaled to RHND)
Crescent
(Blueprint baseline)
Bottom-Up 3 Factors
(Blueprint baseline)
Allocation using 2019 household distribution and no factors; HMC concepts (Crescent Bsln HH19 and Bottom-up three-factor concept)
Jurisdiction potential allocations
Group of Cities: Smallest 15 (by 2019 households)
Page 7
ABAG HMC Meeting #8 | July 9, 2020
Contra Costa Mayors Conference 1 Letter to ABAG HMC
C O U N T Y M A Y O R S C O N F E R E N C E
2221 Spyglass Lane, El Cerrito, CA 94530
August 7, 2020
Mayor Jesse Arreguin, Chair
Association of Bay Area Governments
Housing Methodology Committee
375 Beale Street, Suite 700
San Francisco, CA 94105
RE: Support for the Plan Bay Area 2050 Baseline Data Methodology
Chair Arreguin,
The Contra Costa Mayors Conference, representing all 19 cities in Contra Costa county,
wishes to convey our appreciation for the Housing Methodology Committee’s work on
evaluating housing allocation methodologies for the next RHNA cycle (2023-2031).
We recognize that it is a daunting task, not only because of the collective recognition to
provide more housing that is affordable to a wide range of income levels but also because
we can’t forget that where we distribute the 441,176 housing unit assignment by
California Department of Housing and Community Development (HCD) to the Bay Area
is just as important to the overall quality of life for all residents in the Bay Area.
In light of these considerations, the Contra Costa Mayors Conference supports and
endorses the use of Plan Bay Area 2050 as the baseline data methodology because it is
consistent with the decades-long region-wide effort to:
1.Encourage housing development in proximity to jobs, which would in turn;
2.Reduce transit and transportation congestion, helping to alleviate long region
wide commutes; and
3.Reduce greenhouse gas emissions, consistent with both AB 32 and SB 375.
ATTACHMENT C
Contra Costa Mayors Conference 2 Letter to ABAG HMC
It is of great concern to Contra Costa communities that the alternative “2019 Baseline
Household” method would reverse the decades-long region-wide effort to reduce traffic
congestion and GHG emissions through a greater jobs-housing balance. We appreciate
your consideration of our perspective and recommendation.
Sincerely,
/Signed hard copy to follow via U. S. mail. /
Gabriel Quinto, Conference Chair
Contra Costa Mayors Conference
Contra Costa Mayors Conference Membership
City of Antioch City of Oakley
City of Brentwood City of Orinda
City of Clayton City of Pinole
City of Concord City of Pittsburg
Town of Danville City of Pleasant Hill
City of El Cerrito City of Richmond
City of Hercules City of San Pablo
City of Lafayette City of San Ramon
City of Martinez City of Walnut Creek
Town of Moraga