HomeMy WebLinkAboutStaff Report 10655
City of Palo Alto (ID # 10655)
Finance Committee Staff Report
Report Type: Action Items Meeting Date: 12/17/2019
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Council Priority: Fiscal Sustainability
Summary Title: Ballot Measure Modeling and Analysis
Title: Consideration, Evaluation, and Discussion of a Revenue Generating
Local Tax Ballot Measure, Review of Refined Modeling, Analysis, Tax
Structure and Recommend ation to the City Council
From: City Manager
Lead Department: Administrative Services
Recommendation
Staff recommends that the Finance Committee conduct a review and provide a
recommendation to the City Council on a potential local tax measure for conside ration to
further inform stakeholder outreach, polling, and further analysis and administration efforts.
Major variables to provide direction include, but are not limited to:
A. Type of local tax (e.g., parcel tax or business license tax) and method or unit of measure to base
the tax measure on (e.g. square footage or employee count).
B. Tax rate structure – e.g. flat rate or tiered rate, level of taxation rate (gross revenue estimated
between one and 10 percent of General Fund revenue), a desired rate cap per business, and
exemptions desired to be pursued by the City
It is expected that further narrowing for variables such as general tax versus a special tax, a
sunset provision, a phase in/implementation period, and administrative costs , to name a few,
will continue to be reviewed and refined with additional information through processes , which
includes polling and outreach.
Executive Summary
This report continues work on the Fiscal Sustainability Council priority by further exploring a
potential revenue generating ballot measure. The ballot measure work plan is
compartmentalized into three tracks that continuously intersect throughout this interactive
process: modeling and analysis, polling, and stakeholder outreach. This report is the third in a
series of reports that discuss the modeling and analysis component of the ballot measure work
plan, which the City administration has been actively engaged on with the City Council for
approximately seven months.
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This information and data are presented to the Finance Committee to assist in more clearly
defining a potential tax measure to recommend to Council. To further inform and guide the
discussion of the components and complexities of a tax measure, this report recaps Council
direction from the September 16, 2019 meeting. The report covers and briefly identifies
components of the Council’s direction, presents tax models in a tabular form that also includes
components to consider or be aware of as policy decisions are made, and summarizes an
updated consultant study that includes additional modeling and analysis for a potential
business tax.
Staff is seeking to guide the Finance Committee in making a recommendation to the City
Council, as the Committee articulates which of the three tables outlining potential local tax
measures to continue to pursue and further refine s the type or range of potential tax rates and
exemptions to continue to evaluate.
Background
In 2019, the City Council identified Fiscal Sustainability as a priority for 2019 and approved a
multi-point workplan to address this priority which can be found here. Included in this
workplan was direction to staff to explore revenue generating measures and , more specifically,
to explore a more robust business tax or license program. Staff embarked on addressing these
elements of the workplan and the City Council approved a workplan specific to elements M and
N of the fiscal sustainability workplan.
Staff has outlined three legs to the exploration of a local tax measure to potentially be placed
on a future ballot – modeling and analysis, polling, and outreach. These are concurrently
worked on by staff and consultants, with regular check-ins with the Finance Committee and
Council. Attachment B provides an exhaustive list of staff reports regarding a potential revenue
generating local tax measure.
As part of the modeling and analysis component, staff has reviewed two rounds of analysis with
the Finance Committee and the City Council, this report is the third report specifically focused
on the analytical component of this work. This continues to be an iterative process where staff
presents findings and analysis as work is completed by consultants and this report reflects the
next step in this process.
Specifically, on the analytical work, the initial ballot measure consultant study was presented to
the Finance Committee on August 20, 2019 and to Council on September 16, 2019. The Finance
Committee and Council were presented with options for a potential business tax or parcel tax.
Attached is the revised report that includes refined analysis as directed by Council. The Council
provided the following direction on September 16, 2019:
Direct Staff to continue work regarding a potential revenue generating ballot measure with the
following parameters:
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A) Consider a general business tax measure focused on head count or square footage as the
units of measure;
Additional analysis for this is included in this staff report.
B) Consider a parcel tax measure focused on square footage as the unit of measure;
Additional analysis for this is included in this staff report.
C) Potential revenue allocations to transportation and/or affordable housing shall be
determined at a later date and informed by polling;
Staff is actively working on an initial round of polling to understand voter sentiment around
this. The results of initial polling are expected to be presented to Council in January/February
2020.
D) Continue further refined analysis on potential exemptions and tiered tax rate structures
with the following guidance: maintaining estimated revenue generation between 1 and
10 percent of General Fund revenues, focus on implications regarding retail, restaurants,
hospitality, and medical industries, and keeping potential tax structures simple and
modern minimizing exemptions;
Additional analysis for this is included in this staff report.
E) Continue to review any potential ballot measures as either a general tax (with
nonbinding advisory language on intended use of funds) or a special tax measure;
Additional analysis for this is included in this staff report.
F) Consider a parcel tax or General Obligation (GO) Bond for unfunded infrastructure
projects at a later date;
No current action necessary.
G) Discuss next steps including continued stakeholder engagement with multiple business
types;
City Council approved consultant assistance, funding, and a path forward for stakeholder
engagement. An update of the state of outreach expected to be presented to Council in
January/February 2020.
H) Direct Staff to get an information sheet on San Francisco and East Palo Alto’s various
business taxes; and
This is included in this staff report, specifically Section 6 of Attachment A.
I) Develop a round of polling to test the type of taxation, levels of taxation, a phase in
period and tiering based on type of business;
a. Test payroll, headcount, and square footage taxes
Staff is actively working on an initial round of polling to understand voter sentiment around
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this. The next update that will include initial polling results and a status of outreach is expected
to be presented to Council in January/February 2020.
Discussion
This report provides the Finance Committee with additional modeling and analysis to inform
and guide the discussion and policy decisions for a revenue generating local tax ballot measure.
Attachment A provides the additional modeling and analysis provided by the City’s consultant,
Matrix Consulting Group, based on the most recent direction provided by the City Coun cil.
This report is intended to further assist the Finance Committee in continuing its work in
narrowing the scope and more clearly defining how a potential local tax ballot measure may be
structured to provide a recommendation to the full City Council.
There are different structures, mechanisms, and policy choices to raise revenue through a local
tax measure. The purpose of this item and additional analysis is to continue to refine and more
clearly define a potential tax structure by recommending to the City Council one of the three
types of local measures outlined and continue to guide staff and consultants as they seek
additional feedback from a number of forums including the City Council, stakeholders, and
polling. Based on the direction from the City Council, staff has outlined example structures and
rates for three types of local tax measures.
- Parcel Tax – assessed on square footage developed on a given property
- Business Tax – assessed on employee head count
- Business Tax – assessed on square footage occupied and used by a specific business
Below, staff has outlined separate tables for each type of local tax measure that details the
major variables for consideration from legal requirements to City Council policy decisions.
There are core variables that impact each type of potential local tax that are NOT included in
the table as it is expected that these will need additional feedback and input from additional
efforts such as polling for further deliberation . These variables include: a sunset provision,
general tax versus a special tax, a phase in/implementation period, and administrative costs , to
name a few. Staff expects to revisit these once more refined variables are determined and
additional information is available through processes including polling and outreach.
These tables are intended to prompt discussion, evaluate the potential rates, structures, and
magnitude of these variables all towards the goal of recommending a set of parameters for a
local tax measure for City Council consideration. Following each table is a brief discussion of
observations, and aspects of the tax method or unit of measure that are important to consider
as the Finance Committee works to further narrow the scope and define the structure for a
potential tax ballot measure.
The three tables compartmentalize each component of the tax so that rate modeling, estimated
amount of revenue, and other considerations are outlined. The tables, reading from left to right
and top to bottom, are organized as follows: The first column identifies the different variables
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for consideration that would be built into the overall local tax and how it is structured. This
includes the type of tax, unit of measure, required ballot passage rate, exemptions, rate of
taxation, estimated annual revenue, and tax administration considerations. Each row outlines
these variables; describes the assumptions used, as well as the data used; and what the analysis
articulates.
The major variables to be considered at this stage are described below:
Tax Method/Unit of Measure: At the most macro level, the type of tax desired to be levied is
the tax method. As outlined previously, cities can assess taxes, however changes to establish
new taxes or increase existing taxes must be approved by the v oters in accordance with
Proposition 218. Each type of tax has different legal requirements associated with them ,
including how they are administered, levied, and calculated. The City Council has narrowed the
tax method to either a parcel tax or a busine ss tax – one of these would be levied on the
landowner (parcel tax); the other would be levied on a business owner (business tax). The Unit
of Measure identifies the measurement that the tax would be calculated based on. The City
Council has narrowed the unit of measure for further analysis to either square feet or the
number of employees.
General/Specific & Passage Rate: Depending on the tax method, the voter approval rate
required to pass the tax varies. It also varies by the structure of the tax and whether it is a
general tax measure or a special tax measure. Another consideration that may be a variable
within this topic is provisions for oversight and whether it would be active and/or passive
oversight (reporting out).
A general tax is a tax that is levied by a general-purpose government and is expended on
any program, service, or capital need, at the discretion of the local government’s
governing body. A simple majority vote (50 percent of voters plus one additional voter)
is required for approval of a general tax. Non-property related taxes which cities and
counties are authorized to levy may be imposed as a general tax.
A special purpose tax is dedicated to a specific purpose, including a special tax for a
specific purpose that is deposited into a city’s general fund, and requires a 2/3
supermajority vote. Taxes levied on property, excluding ad valorem but including parcel
taxes, are considered special taxes.
Legally Required Exemptions: The tax method and choice of a general versus a special tax will
determine who the City assesses the tax on and how the City can use the tax revenue. The two
variables reviewed above impact how the tax is administered, the type of property owners
and/or business industries that are subject to and exempt from the tax, the required passage
rate on the ballot, and potentially any reporting requirements.
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Rate Structure: The rate at which a potential tax may be approved at is modeled in this section.
Rates can be flat or tiered based on size, type, or quantity. Both the type of rate and the unit it
is measured on is articulated in this section. For example:
A flat rate would be the same charge per square foot, i.e. $0.50/square foot. This rate
would be charged regardless of the size of the building - 200 square feet would be
charged the same as a 25,000 square foot building and in this example would pay
$100/year and $12,500/year respectively.
A tiered rate would change the rate per square foot based on the size of the building, for
example buildings under 2,000 square feet would be assessed $0.75/square foot while
buildings 25,000 square feet and over would be assess $0.25/square feet. In this
example, the individual the tax was levied on would be paying $1,500/year and
$6,250/year.
Average Annual Fee and Tax Rate per Unit: Based on the City Council direction, this section
models what the average annual fee for a certain business or property owner may be AND the
rate that would be charged. Three levels of taxation are modeled to articulate the City Council
direction – 1% of General Fund revenue, 5% of General Fund revenue, and 10% of General Fund
revenue – to provide the minimum ($2.3 million), maximum ($23.2 million), and middle ($11.6
million) of the desired annual revenue to be generated by a potential t ax. These rates and
revenue estimates are approximations; the data sources and assumptions used to model these
rates are documented in subsequent sections. In this section it is important to not only look at
the rate of taxation and ultimately revenue generation but also to look at the rate compared to
comparable and neighboring jurisdictions and the average annual cost for different types of
businesses or land use.
Examples of Businesses: To assist in the review of the Average Annual cost and potential tax
rate per unit of measure, rough examples of the types of businesses that would be impacted by
tiered rates are outlined here. This is not intended to be an exhaustive list but rather to provide
context and familiar reference.
Exemptions by City Council Policy: In addition to the exemptions of a potential local tax
measure that are required by law, a jurisdiction may choose to exempt additional activities for
various policy reasons. The City Council provided direction to look at the implications on retail,
restaurants, hospitality, and medical industries. This section provides information on these
populations, the potential revenue loss as a result of exemptions for these types of businesses.
In many instances, separate data sources were necessary t o provide this rough analysis and are
so noted.
Total Annual Revenue Estimate/Assumptions: Staff has provided rough rate projections based
on desired revenue generation. This section articulates the assumptions that were used in the
calculations in the Average Annual Fee and Tax Rate per Unit section.
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Data Sources: When considering a potential tax, it is important to understand the data sources
available to assist in administering the tax. This section outlines the data sources available as
well as the source(s) used in the analysis presented in the table. For example, the City was able
to obtain data from the County of Santa Clara on the square footage of buildings on parcels,
however, this data set does not identify the business types that the City Council may wish to
exempt. Therefore, staff has used an alternative data set from a subscription database to assist
in that analysis. Data sources are critical to understand the source behind the analysis as well as
the administrability of a potential tax measure.
Equity, Administrability, Stability, and Economic Benefits: As a reminder, the City Council and
Committee have adopted the E.A.S.E Framework – this framework is a guideline for various
policy decisions related to a tax measure. E.A.S.E. represents Equity, Administrability, Stability,
and Economic Benefits. Each component of E.A.S.E. is considered when weighing advantages,
disadvantages, and trade-offs of the tax measure structure and its components. Internal and
external impacts, drivers and potential volatility, and whether the tax measure promotes
certain economic development activities are addressed when considering E.A.S.E. in the policy
decision process. This frame is consistently provided throughout this additional analysis.
Equity Who does the tax impact and how is the impact felt across all residents or
businesses in the same industry?
Administrability How is the tax administered and what would be the cost of compliance on
taxpayers and the City?
Stability What are the drivers of the tax revenue and how does the tax type in question
affect the volatility of the revenue over time (including potential recessionary
or modernization scenarios)?
Economic Benefits Is the tax efficient, promotes economic development objectives, and minimize
disruption on the taxpayer?
The tables below detail the three different options and how the variables discussed above
would materialize through the administration and implementation of each option. After each
table, a narrative description of the tax is included that further details considerations such as
data sources, how the tax could be collected, and other distinguishing characteristics.
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Tax Method/Unit of
measure
Parcel Tax
Assessed based on the building square footage (Commercial only)
General/Specific &
Passage Rate
2/3 supermajority vote required
Legally Required
Exemptions
Properties exempt from the general 1 percent ad valorem (property) tax are exempt from parcel
tax.
Rate Structure
Flat Rate per Sq Ft (excludes residential properties)
Small
2,500 sq ft
Medium
30,000 sq ft
Large
100,000 sq ft
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1% of GF
= $2.3M
Avg fee: $275/parcel
Tax Rate: $0.1099/sq foot
Avg fee: $3,298/parcel
Tax Rate: $0.1099/sq foot
Avg fee: $10,994/parcel
Tax Rate: $0.1099/sq foot
5% of GF
= $11.6M
Avg fee: $1,374/parcel
Tax Rate: $0..5497/sq foot
Avg fee: $16,491/parcel
Tax Rate: $0.5497/sq foot
Avg fee: $54,971/parcel
Tax Rate: $0.5497/sq foot
10% of GF
= $23.2M
Avg fee: $2,749/parcel
Tax Rate: $1.0994/sq foot
Avg fee: $32,983/parcel
Tax Rate: $1.0994/sq foot
Avg fee: $109,973/parcel
Tax Rate: $1.094/sq foot
Examples of
Businesses
Cafes/coffee shops, small
local/ neighborhood
businesses, shops, and small
commercial
Office buildings, retail,
specialty shopping centers,
service stations
International hotel brands,
manufacturing
Exemptions by
Council Policy
TBD – pending data from Santa Clara County
Below are the approximate impacts of exemptions, based on CoStar data.
1% GF: $25,600
10% GF: $255,975
Total: 233,000 sq ft
1% GF: $68,710
10% GF: $687,100
Total: 625,000 sq ft
1% GF: $1,027,312
10% GF: $10,273,125
Total: 9,344,070 sq ft
Total Annual Revenue
Estimate &
Assumptions
Revenue generated would depend on the tax rate adopted and exemptions chosen. The rates
modeled above include the following assumptions/adjustments:
- Legally required exemptions.
Data Sources
Components of necessary data is available from the following sources: Santa Clara County, City’s
Property Tax consultant, and subscription databases such as CoStar.
- Analysis is modeled based on data from Santa Clara County
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A rentable building square feet tax aligns the tax with both the size and potentially the property
types it is assessed on which would be considered more progressive. However, this would more
closely align with the physical space necessary for a business, as opposed to alternative variable
which might align more with daytime population. For example, it would impact businesses such as
manufacturing which requires significant space for machinery.
A
Administration for a parcel tax is done through Santa Clara County (SCC) and included in the
property owner’s property tax bill.
Administrative Costs: Consultant services and internal staff needed in order to calculate
assessment for the County. SCC assesses an administrative fee for collection of the tax.
S Very stable with low volatility.
E
This method could be tailored to promote certain economic development objectives; however, the
selected exemptions or varying tax rate scales could result in unanticipated complexities that
would make the tax difficult to administrate.
The parcel tax square footage unit of measure requires property owners to pay based on the
square feet of the building on the parcel. Generally, properties that are exempt from the
general 1 percent ad valorem (property) tax are exempt from a parcel tax. The most reliable
data source for this tax method and unit of measure is data from the Santa Clara County
Assessor’s Office. Although the square footage parcel tax method appears to be like the
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business tax based on square footage unit of measure, the legal parameters and administration
are different.
Data from the County is organized by land use category and then further grouped into various
types of land use by parcel, which may limit the type of policy directed exemptions that Council
may select. For example, Council identified the retail industry as one of the c ategories to
further analyze for potential impacts. The shopping center land use category contains only
three broad sub-groupings: regional, community, and neighborhood. A shopping center parcel
can contain a variety of commercial business including retail, restaurants, professional services,
and grocery stores. Since a type of parcel can be rented or leased to a variety of different
industry types, administration of policy selected exemptions may be a challenge.
Acknowledging this challenge, additional staff research would need to be done to determine if
alternative options are available to enforcing/administering policy directed exemptions.
Where a business tax can be considered either a general tax (requiring simple majority voter
approval to pass) or a special tax (requiring 2/3 supermajority voter approval), a parcel tax is
considered a special tax and requires a 2/3 supermajority vote approval for a specified purpose
(California Government Code Section 50075 et seq.). Per California Government Code Section
50075.1, all special tax measures are subject to accountability measures that include a
statement detailing the specific purposes of the tax, separate accounts where the proceeds
shall be deposited, and an annual report that discloses the amount of funds collected and
expended and the status of any project required or authorized to be funded by the tax
proceeds. Although it would be relatively small, these requirements would pose an additional
administrative burden.
Administration of a parcel tax would be done through the County, included in the property tax
roll. An administration fee would be incurred and netted against the gross parcel tax receipts.
The parcel tax assessment would be calculated by staff or a consultant and provided to the
County to include in the upcoming property tax bill.
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Method/Unit of
Measure
Business Tax – Head Count
Assessed on a business based on number of employees
General/Specific
& Passage Rate
General Tax: simple majority vote (50 percent plus one additional voter)
Special Tax: 2/3 supermajority vote
Legally Required
Exemptions
Non-profit or charitable organizations (e.g. non-profit hospitals), banks and other financial institutions
that pay the state in-lieu tax, small residential care facilities, and small home childcare facilities.
Rate Structure
Flat Rate
(modified EE count
40,625)
Tier Rate Structure
Small
7 employees
Medium
375 employees
Large
700 employees
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1% of GF
= $2.3M
Avg fee: $855
Tax Rate: $57/EE
Avg fee: $83
Tax Rate: $59+$4/
EE over 1
Avg fee: $19,530
Tax Rate: $355+$59/
EE over 50
Avg fee: $42,505
Tax Rate: $26,905+$78/ EE
over 500
5% of GF
= $11.6M
Avg fee: $4,290
Tax Rate: $286/EE
Avg fee: $406
Tax Rate: $292+$19/
EE over 1
Avg fee: $96,623
Tax Rate: $1,723+$292/
EE over 50
Avg fee: $210,923
Tax Rate: $133,123+$389/ EE
over 500
10% of GF
= $23.2M
Avg fee: $8,565
Tax Rate: $571/EE
Avg fee: $818
Tax Rate: $584+$39/
EE over 1
Avg fee: $193,270
Tax Rate: $3,470+$584/
EE over 50
Avg fee: $421,870
Tax Rate: $266,270+$778/ EE
over 500
Examples of
Businesses
N/A
Information, Finance,
Insurance, Real
Estate, Rental,
Leasing, Professional,
Scientific, Technical
Professional, Scientific,
Technical
Information, Professional,
Scientific, Technical
Exemptions by
Council Policy
By NAICS code:
- Retail/Trade: 241 businesses, 5,123 employees; $144K total tax revenue
- Accommodation and Food Service: 211 businesses, 6,005 employees; $145K total tax revenue
1% GF: $634K
10% GF: $6.4M
EE’s: 11,128
1% GF: $284,677 Retail/Trade: $141K
Accommodation/Food Service = $143K
10% GF: $2,839,467 Retail/Trade: $1.4M
Accommodation/Food Service = $1.4M
Total Annual
Revenue Estimate
Revenue generated would depend on the tax rate adopted and exemptions chosen. The rates modeled
above include the following assumptions/adjustments:
- Legally required exemptions
- Exemptions by Council Policy
Data Source
The primary data source for this tax method and unit of measure would be data from the EDD or self-
reported. The EDD collects business data that is categorized by NAICS code, number of businesses,
number or employees, and tiers businesses/employee head count. In-lieu of self-reported data as staff
recognizes the gaps in current business data verified databases, such as InfoGroup and the California
Secretary of State, are also available.
- Analysis is modeled based on data provided by EDD
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This tax model would directly relate revenue to the daily phenomena of the influx of daytime population
within the City’s boundaries and tax this activity as such. However, businesses that are labor driven will
have a higher employee head count and, based on EDD data, have lower average wages, will be bear a
higher tax based on employee head count. Examples of these industries are retail, social assistance, and
food service/hospitality.
A
Establishing criteria that sets the definition of an employee should be included so that businesses are able
to accurately report data and remit tax.
- Self-reported employee head count by the business owner would be the simplest method of
administering this tax, however there is a higher risk that data is reported incorrectly.
- Structure for this tax model would need to define how to address alternative employee definitions
such as working from home, contractor, etc.
Administrative Costs: Consultant services and internal staff would be needed in order to administer this
tax – the ratio of staffing to consultant would need to be determined.
S Tax revenue driver is directly related to how many businesses are in the City and the number of
employees at each business. Depending on how the policy is developed and how the tax definitions are
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Method/Unit of
Measure
Business Tax – Head Count
Assessed on a business based on number of employees
written, the basis will be impacted as companies transition to alternative employment models (i.e.
outside consultants, employees working from offsite locations outside of City boundaries), which is
becoming a trend in consulting and high-tech companies.
E
From an operational standpoint of the taxpayer, the employee head count measure is data that can be
obtained through quarterly EDD reporting or the business’ employee database. This results in minimal
operational disruption to the tax payor. Implications of economic development goals would be dependent
on the specific structure, potential exemptions, and business classifications
According to the Consultant Study’s review of comparable agencies, the employee head count
unit of measure is the most-used unit of measure for a business tax. At a baseline, the
employee head count unit of measure can define a variety of ways that would result in a
straightforward tax or layers of complexity can be added that would result in a tax that could be
challenging to manage. In addition, since this unit of measure is based on employee head count
and the influx of the daytime population in the City, the tax revenue resources would be
directly correlated to this daily phenomenon.
Some businesses and occupations are exempt from local business taxation under state or
federal law. These include non-profit or charitable organizations (e.g. non-profit hospitals),
banks and other financial institutions that pay the state in -lieu tax, small residential care
facilities, and small home childcare facilities.
The primary data source for the employee head count unit of measure is from the California
Employment Development Department (EDD). State payroll taxes are submitted quarterly and
data is received by the EDD for total wages and number of employees and are categorized by
the North American Industry Classification System (NAICS) code. NAICS codes range from 2 -
digits to 6-digits, which allows Council more flexibility to select exemptions by policy, but the
codes do not indicate which businesses are non-profits. Additional data at a more detailed level
would need to be requested of the EDD to further refine modeling for legally required
exemptions (i.e. small residential care facilities, and small home childcare facilities). Reports can
be requested of the EDD at regular intervals, depending on the defined needs.
Based on EDD data presented in the previous Consultant Study, there are 97,350 employees
working within City limits, excluding federal and local government employees. Using broad
NAICS code categories, the modeling in the Consultant Study assumes that 45,596 employees
work in the educational services, health care and social assistance, religious, grantmaking, and
civic non-profit industries. For modeling purposes and to illustrate a flat employee head count
tax rate, a total number of 40,625 non -exempted employees was assumed and excludes legally
required exemptions and other exemptions that Council has expressed interest in (retail,
restaurants, hospitality). The total employee count will decrease, should the Council select
additional exemptions.
In addition to a potential flat tax rate for each employee, a tier structure can be selected that
can be progressive (rates increase as employee head count increases) or regressive (rates
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decrease as employee head count increases). The above table provides examples of the type of
businesses that fall under a small, medium, or large business. For context of employment size,
below is a list of the number of businesses by employment size:
- 0-4 EE’s = 1,777
- 5-9 EE’s = 300
- 10-19 EE’s = 234
- 20-49 EE’s = 215
To clarify administration of the tax, the definition of who is considered an employee to be
counted in this unit of measure would need to be clearly defined and would need to address
various alternative employment models (i.e. telecommuters, consultants/contract employees,
part-time staff) in the definition of an employee.
City of Palo Alto Page 13
Method/Unit of
Measure
Business Tax – Square Footage
Assessed on a business based on occupied square footage
General/Specific
& Passage Rate
General tax: simple majority vote (50 percent plus one additional voter)
Special tax: 2/3 supermajority vote
Legally Required
Exemptions
Non-profit or charitable organizations (e.g. non-profit hospitals), banks and other financial institutions
that pay the state in-lieu tax, small residential care facilities, and small home childcare facilities.
Rate Structure Flat
Tier Rate Structure
Small
2,500 sq ft
Medium
30,000 sq ft
Large
100,000 sq ft
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1% of GF
= $2.3M
Avg fee: $2,200
Tax Rate: $0.09/sq ft
Avg fee: $109
Tax Rate: $0.0438/sq ft
Avg fee: $990
Tax Rate: $0.0330/sq ft
Avg fee: $2,720
Tax Rate: $0.0272/sq ft
5% of GF
= $11.6M
Avg fee: $11,015
Tax Rate: $0.45/sq ft
Avg fee: $547
Tax Rate: $0.2187/sq ft
Avg fee: $34,959
Tax Rate: $0.1653/sq ft
Avg fee: $13,610
Tax Rate: $0.1361/sq ft
10% of GF
= $23.2M
Avg fee: $22,030
Tax Rate: $0.90/sq ft
Avg fee: $1,095
Tax Rate: $0.4379/ sq ft
Avg fee: $9,927
Tax Rate: $0.3309/sq ft
Avg fee: $27,240
Tax Rate: $0.2724/sq ft
Examples of
Businesses in this
Tier
N/A Cafes/coffee shops,
small
local/neighborhood
businesses and shops
Office buildings, retail,
specialty shopping
centers, service stations
International hotel
brands, manufacturing
City Chosen
Exemptions
TBD – pending data availability from a verified resource
Based on CoStar data, below are the approximate impacts of exemptions
1% GF: $918,170
10% GF: $9,181,670
Sq Ft: 10,202,070
1% GF: $10,200
10% GF: $101,955
Sq Ft: 233,000
1% GF: $22,624
10% GF: $206,800
Sq Ft: 625,000
1% GF: $254,160
10% GF: $2,545,325
Sq Ft: 9,344,070
Total Annual
Revenue Estimate
Revenue generated would depend on the tax rate adopted and exemptions chosen. The rates
modeled above include the following assumptions/adjustments:
- Legally required exemptions
Data Source The source of compliance data would be an actively maintained and updated third-party real estate
database, corroborated with data from Santa Clara County.
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E
If industries within the City require an average square footage that is similar to the business’
competitors, the tax burden would fall equally among businesses in the same industry.
This tax model would place heavier tax burden on industries that require larger square footage to
operate, such as manufacturing.
A
Whether the commercial space is owner occupied, leased, or sub-leased, how regulation is
administered, and allocation of the tax is administered by the property owner or the City should be
addressed and clarified in the tax language.
Examples of complex areas in this tax structure are common areas, shopping centers, franchises and
how a business may define their company’s site(s).
Administrative Costs: Consultant services and internal staff would be needed in order to administer
this tax – the ratio of staffing to consultant would need to be determined.
S
Tax is assessed on commercial square footage and, although some exemptions can be made to
encourage certain industries to expand in the City, overall revenue growth using this model will be
limited based on policy decisions related to commercial space in the City.
E
This tax model would appear to inhibit square footage growth which typically is one way to assist in
increasing the value of the City’s property tax roll. However, depending on how the tax is structured,
this model has the potential to encourage growth for targeted industries and/or business sizes and/or
property types.
Although the square footage unit of measure can be applied to both a business tax and a parcel
tax, the legal basis, parameters, and requirements are very different. Where the focus of a
City of Palo Alto Page 14
parcel tax based on square footage is based on land use, as a business tax , this unit of measure
can correlate to the industry type. While a parcel tax is assessed together with the property
owner’s property tax bill, a business tax based on square footage would be directly billed to the
business owner. Use of space by a business would be self-reported and, from an administrative
perspective, whether the tax is applicable to common areas and space not actually used by
businesses would need clarification or simply be excluded in the business tax language.
Compared to the employee head count unit of measure, where data is from a regulatory entity
and reporting is mandatory and audited, obtaining data that accurately reflects the City’s
business population, square footage usage, and industry for refined modeling of a business tax
based on square footage was a challenge. Therefore, from an administrative and regulation
standpoint, data used for verifying self -reported square footage would need to be compiled
from a variety of sources and additional staff or consultant assistance would be req uired to
regulate a square footage business tax.
The legal requirements for a square footage business tax are the same as those for a business
tax based on employee head count. The tax can be structured as a general tax, requiring a
simple majority vote, or a special tax, requiring 2/3 supermajority vote. The legally required
exemptions are also the same and include non-profit or charitable organizations, banks and
other financial institutions that pay the state in-lieu tax, small residential care facilities, and
small home childcare facilities.
Updated Business Tax Consultant Study
The City engaged Matrix Consulting Group (Matrix) to conduct research, modeling, and analysis
of a potential business tax. The study, Business License Tax Program Comparative Assessment
and Revenue Projections (Consultant Study), was presented and discussed with the Finance
Committee on August 20, 2019 (CMR 10445), and with City Council on September 16, 2019
(CMR 10615). Staff, under direction of the Council, was asked to provide additional research
and refined analysis and modeling as a follow up to Matrix’s initial report. The revised
Consultant Study (Attachment A) is attached to this staff report, which was used for the above
tables that outline business tax options.
The revised Consultant Study focuses on several areas, as directed by Council on September 16,
2019. Specially, the areas that the Consultant Study addresses are:
- A general business tax measure focused on head count or square footage as the units of
measure;
- Refined analysis on potential exemptions and tiered tax rate structures with the following
guidance: maintaining estimated revenue generation between 1 and 10 percent of General Fund
revenues, focus on implications regarding retail, restaurants, hospitality, and medical industries,
and keeping potential tax structures simple and modern minimizing exemptions; and,
- An information sheet on San Francisco and East Palo Alto’s various business taxes.
City of Palo Alto Page 15
Information Sheet for Various Business Taxes in San Francisco and East Palo Alto
In addition to refined analysis, the Council also requested additional, more detailed information
for all taxes assessed on businesses in San Francisco and East Palo Alto. Summaries for both can
be found in Section 6 of the attached Consultant Study (Attachment A).
Staffing Levels for Business Tax Administration, Collection, and Audit Program
Matrix also conducted additional research for comparable agencies related to staffing levels for
administration, collection, and audit program. Findings are discussed in Section 5.4 of the
attached Consultant Study. Overall, the selected comparable agencies administer and collect
the business tax internally while the audit function is either done internally or by a consultant.
Business Tax: Employee Headcount
Based on selected comparable agencies in the Consultant Study, the employee headco unt
business tax model is the most commonly used business tax type, and perhaps the simplest
form of a business tax. The employee head count model applies a tax rate, either flat or tiered,
to the number of people a business employs within the City’s bound aries. For modeling
purposes, the initial Consultant study applied employee head count rates used by the City of
Mountain View.
As directed by Council, to provide more refined analysis, staff requested additional data from
the California Employment Development Department (EDD). Two groups of data were received.
The first data set grouped the number of businesses into employee head count ranges (i.e. 0 -4
employees, 5-9 employees, 10-19 employees, etc.). The second data set displayed the number
of employees that fell into each employee head count range. Both data sets provided aggregate
totals, however due to EDD’s confidentiality restrictions, the Consultant Study outlines made
assumptions account for suppressed businesses and employee counts.
The new data sets, in addition to suppressed business and employee head count data as a data
limitation, embedded business and employee head count data related to businesses within the
Stanford area. Business transacted outside of City limit and within the Stanford area would not
be subject to a local business tax. To remove Stanford businesses and employee head count
data from the revised models, data previously provided by the EDD detailing businesses and
employees was averaged and reduced from calculated totals in the revised modeling. More
information can be seen in Section 5 of the Consultant Study.
Under state or federal law, some businesses and occupations are exempt from local business
taxation. These business types include non-profit or charitable organizations (e.g. non-profit
hospitals), banks and other financial institutions that pay the state in -lieu tax, small residential
care facilities, and small home childcare facilities. The EDD categorizes businesses based on the
North American Industry Classification System (NAICS) and does not provide indicators or
distinguish for these exemptions. The Consultant Study assumes that all businesses in the
health care and social assistance, and religious, grantmaking, civic and professional categories
(NAICS #62 and #813) are non-profit organizations.
City of Palo Alto Page 16
Business Tax: Square Footage
The second business tax measure type that was reviewed in the updated Consultant Study was
a business tax based on square footage. The updated Consultant Study uses data from
InfoGroup which, compared to data from CoStar and the City Business Registry Certificate
Program (BRC), had the largest census population of businesses. Although the data set from
InfoGroup contained the largest census on businesses within the City, the data was limited in
specific measurements and does not include industry type data. Both these factors limit the
models for legally required or policy directed exemptions in the revised Consultant Study.
The Consultant Study presents the estimated potential revenue range using City of Cupertino
(the only comparable agency that uses the square footage model) for the rate and would yield
business tax revenue between 0.4 percent and 1.4 percent of General Fund revenue. Like the
employee head count analysis, the Consultant Study models the percent of the City of
Cupertino rates needed to achieve between one to 10 percent of General Fund revenue.
Workplan Update
Following the September 16, 2019 Council meeting, staff presented a revised revenue
generating ballot measure timeline to the Finance Committee. The updated workplan outlines
key decision points for the City Council and Finance Committee and details anticipated staff and
consultant work to be completed before the end of June. On December 2, 2019, Council gave
staff direction to proceed with initial polling based on an outline and framework presented to
Council. Initial polling is the first of two rounds and the purpose of the first round is to gain an
understanding of how voters view various elements that may be part of a ballot measure. A
second, more refined and developed poll, will build upon the initial poll and be informed by
outreach efforts and discussion of analysis and modeling. The initial poll is set to be completed
in December/January and the second round of polling is scheduled to be completed in the
spring. Stakeholder outreach is set to begin around the same timeline as the initial polling and
will continue through the end of March.
Staff expects to bring forward to the City Council an update early 2020 in all three components,
polling, outreach, and analysis for this project.
Stakeholder Outreach
The Administrative Services Department has worked closely with the City Manager’s
Department, the Finance Committee, and the City Council. The history of City M anager’s
Reports on this topic can be found in Attachment B. The framework and approach for polling
and outreach was approved by Council on November 4, 2019 (CMR 10792). Based on these
discussions and direction to staff, the City’s consultants, FM3 (polling) and TBWB (outreach)
have begun work.
City of Palo Alto Page 17
Resource Impact
The 2019 Fiscal Sustainability workplan identified this project as one that was not resourced by
staffing or consultant funding. The cost to perform modeling and analysis was approved on
September 16, 2019 (CMR 10615) and polling and outreach funding was approved on
November 4, 2019 (CMR 10792).
Environmental Review
This report is not a project for the purposes of the California Environmental Quality Act (CEQA).
.
Attachments:
• Attachment A: Consultant Report from Matrix Consulting Group
• Attachment B: Ballot Measure Staff Reports to Finance Committee and Council
Attachment A
Business License Tax Program Comparative
Assessment and Initial Revenue Projections
CITY OF PALO ALTO, CALIFORNIA
December 3, 2019
Attachment A
Table of Contents
1. Introduction and Executive Summary . 1
2. Comparable Jurisdiction Program Profiles
5
3. Summary of Business License Tax Programs
26
4. Preliminary Business Tax Revenue Projections
33
5. Updated BLT Revenue Projections
41
6. Business Taxes Imposed by East Palo Alto and San
Francisco
55
Appendix A – Number of Firms per Employee Size Category
59
Appendix B – Estimated BLT Employee Count Rates
60
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 1
1 Introduction and Executive Summary
The Matrix Consulting Group was retained by the City of Palo Alto to conduct research to
assist the City with the potential development of a Business License Tax program. The
scope of services included conducting comparative research and outreach on the
program utilized by selected Bay Area communities to understand the prevailing practices
regarding the development, implementation and administration of Business License Tax
programs and to conduct data analysis and modeling, based on available data sources,
the potential revenue that the City may receive if a Business License Tax program were
implemented.
As part of the Matrix Consulting Group’s study for the City of Pa lo Alto, the project team
gathered information on the Business License Tax program of comparable jurisdictions.
The survey gathered demographic, historical and structural information on the City and
its tax. This document first presents the results of the comparative analysis conducted by
the Matrix Consulting Group and concludes with initial projections to develop high level
estimates of potential revenue realization.
1. PROJECT BACKGROUND AND INFORMATION
The analysis focuses on profiling each jurisdiction compared and presenting key findings
that assess the approach to a Business License Tax by comparable jurisdictions. Based
upon discussions with the City, the project team and the City arrived at nine comparable
jurisdictions for inclusion in the comparative effort. The following jurisdictions were
utilized: Cupertino, East Palo Alto, Mountain View, Redwood City, San Francisco, San
Jose, San Mateo, Santa Clara, and Sunnyvale.
For each of the jurisdictions surveyed, the project team developed a profile of the
business tax license program and examines the jurisdiction’s demographic information
such as population, employment data, revenue base and the number and type of
businesses. The profile also includes background information on each jurisdictions
Business License Tax and provides a breakdown of the tax parameters.
The project team utilized a variety of techniques in the development of this report including
the following:
• Researching business license tax program webpages: The project team visited
different webpages to determine the different aspects of the program.
• Jurisdiction Outreach: The project team also reached out to individual jurisdictions
to determine any additional information regarding the business license information.
The results of this data gathering are presented in the following chapters.
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 2
2. SUMMARY OF KEY COMPARATIVE DATA
In conducting the comparative analysis, the project team collected various pieces of
information related to the function and parameters of Business License Tax programs
and their execution. The following tables shows key data points gathered for this
comparative analysis:
Demographic Information
City Population
# of
Businesses
Cupertino 60,777 3,800
East Palo Alto 29,765 1,527
Mountain View 81,438 3,700
Redwood City 86,685 6,275
San Francisco 884,363 242,000
San Jose 1,035,000 58,000
San Mateo 104,748 7,486
Santa Clara 127,134 13,000
Sunnyvale 152,389 7,875
Palo Alto 66,649 5,496
Business License Tax General Information
City
Business License
Type
Special or
General Tax
Year
Adopted
Cupertino Square Foot General 1992
East Palo Alto Gross Receipts Specific 2016
Mountain View Employee Count General 2018
Redwood City Employee Count General 1990
San Francisco Gross Receipts; Payroll General 2011
San Jose Employee Count General 2016
San Mateo Gross Receipts General 1976
Santa Clara Employee Count General 2003
Sunnyvale Employee Count General 1976
Business License Tax Financial Information
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 3
City
Actual Business
License Revenue
BLT Revenue as
% of Total
General Fund
Revenue
Revenue Per
Business
Cupertino $876,000 1% $230
East Palo Alto $1,175,000 4% $769
Mountain View $6,000,0001 4% $1,621
Redwood City $2,628,000 2% $427
San Francisco $820,000,000 9% $3,388
San Jose $72,200,000 6% $1,244
San Mateo $5,940,000 5% $793
Santa Clara $915,000 0.5% $70
Sunnyvale $1,840,000 1% $233
Business License Tax Details
City Exemptions Sunset
Annual
Escalator
Revenue
Use Administration
Payable
Online
Cupertino No No Yes General In-House Yes
East Palo Alto Yes No No Specific In-House No
Mountain View Yes No Yes General In-House No
Redwood City Yes No Yes General In-House Yes
San Francisco Yes No No General In-House Yes
San Jose Yes No Yes General In-House Yes
San Mateo Yes No No General In-House Yes
Santa Clara Yes No No General In-House No
Sunnyvale Yes No No General In-House Yes
Based upon the information in the table above and the analysis conducted in the report,
the key takeaways are as follows:
• Approximately 56% of the jurisdictions surveyed utilize employee count as the
primary methodology for calculating the Business License Tax.
• Four of the jurisdictions surveyed (Cupertino, Mountain View, Redwood City, and
San Jose) utilize an annual escalator to adjust the tax.
• Eight of the nine jurisdictions use the revenue generated from the Business
License Tax for general city purposes.
1 Revenue estimated based on the November 2018 voter approved Measure P employee count -based tax structure
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 4
• All of the jurisdictions administer the Business License Tax in-house and two-thirds
of jurisdictions allow business owners to pay the tax online.
As the points demonstrate, there are a variety of components to the Business License
Tax program, including its administration, utilization, and usage. The following chapters
provide further information and detail regarding these comparative factors.
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 5
2 Jurisdiction Profiles
Individual profiles of each jurisdiction were developed on each community’s Business
License Tax Program to document and highlight key aspects of the program . The
jurisdictions were selected based on comparable characteristics and proximity to the City
of Palo Alto and were approved by the City. The Fiscal Year 2018-2019 Adopted Budgets
were used as the source for gathering financial data on each jurisdiction. The Population
and Industry data collected are based on information provided by the US Census and
utilize the most recent numbers available. Jurisdictions that are labelled as Full -Service
cities are defined as providing all, or nearly all, public services, including utilities, public
safety, public works, and leaving little to no reliance on the county or other jurisdictions
for services. The following subsections discuss each of the jurisdictions surveyed as it
relates to demographics, tax background, tax structure, and a summa ry.
1. Cupertino
The following subsections provides information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of the City of
Cupertino.
1.1 Demographics
The City of Cupertino, California is located in Santa Clara County and has a population
of 60,777. According to the annual budget, the City of Cupertino has 202 full -time
equivalent positions across all departments. Cupertino offers little services limited to
Public Works and Parks and Recreation. The City has approximately 3,800 businesses
within its limits and generated $876,455 of Business License Tax revenue in FY 2018-
2019. Based on employment statistics, the largest industry within the City is Professional,
Scientific, & Technical Services at 29.3%, followed by Manufacturing at 22.3%, then
Healthcare with 8.52%.
1.2 Business License Tax Background
The City of Cupertino first adopted a Business License Tax in 1992, then later updated
its structure in 2001 to increase the tax rate per square foot to the current rate. In 2018,
the City of Cupertino attempted to update the business license tax structure to an
employee-based method. The Council delayed the proposed license tax measure until
2020. The tax is codified under Title 5 Business License and Regulations Chapter 5.04
Business Licenses General.
1.3 Business License Tax Structure
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 6
The City of Cupertino utilizes a square footage methodology when calculating its
Business License Tax. The table below summarizes Cupertino’s business license tax
model:
Cupertino Square Foot Tax
Square Foot Range Tax Rate
0 - 5,000 sq. ft. $0.0397 per sq. ft.
5,001 – 25,000 sq. ft. $0.0346 per sq. ft.
25,001 – 75,000 sq. ft. $0.0300 per sq. ft.
75,001 – 100,00 sq. ft. $0.0247 per sq. ft.
100,001 – 150,000 sq. ft. $0.0197 per sq. ft.
150,001+ sq. ft. $0.0050 per sq. ft.
As indicated by the table above, the tax rate is calculated by taking the square footage of
the business and multiplying it by the rate in the applicable size range. The tax structure
utilizes an annual escalator, where the rates are adjusted 1.8% annually. The revenue
generated is used for general purposes within the City and is placed in the General Fund.
1.4 Summary
The tax does not utilize a sunset clause and is available online for businesses to fill out
and pay. According to the 2018-2019 adopted budget, the City of Cupertino generated
$876,455 in revenue from the tax, about 1% of the total General Fund revenue for the
fiscal year. The tax program is administered in house by the city’s Finance Division of the
Administrative Services Department and dedicate 0.6 FTE to the Business License Tax
program administration.
2. East Palo Alto
The following subsections provides information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of the City of East
Palo Alto.
2.1 Demographics
The City of East Palo Alto, California is located in San Mateo County and has a population
of 29,765. The City of East Palo Alto has 114.8 full-time equivalent positions across all
departments in 2019. The City provides some services including Parks and Recreation,
Police, and Library. The City has approximately 1,527 businesses within its limits and
generated $1,175,000 in revenue from the business license tax in FY 2017 -2018. Based
on employment statistics, the largest industry within the City is Accommodations at 14.2%
of the market share, followed by Retail at 11.8% then Healthcare with 11.7% of
employment market share.
2.2 Business License Tax Background
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 7
In November 2016, the City of East Palo Alto adopted an update to its Business License
Tax Structure under Measure O, implementing a Gross Receipts based landlord tax. The
tax is codified in the city’s municipal code Title 5 Business Licenses and Regulations
Chapter 5.04. In 2018, voters also passed a commercial office space parcel tax with a
79% majority that will impose an annual rate of $2.50 per square foot on commercial office
space over 25,000 square feet. This is estimated to raise an additional $1,675,000 in
revenue.
2.3 Business License Tax Structure
The Gross Receipts model adopted by the City of East Palo Alto that applies to most
business activities is summarized in the table below:
East Palo Alto Gross Receipts Model
Annual Gross Receipts Annual License Fee
$0-$999 $50
$1,000-$100,000 $125
$100,001-$250,000 $250
$250,001-$500,000 $500
$500,001-$10,000,000 $1 for each $1,000 of gross receipts
$10,000,000 $0.50 for each $1,000 of gross receipts over $10,000,001
East Palo Alto Other Taxes
Business Classification Unit Tax
Administrative $1 for each $1,000 of gross receipts
Construction Contractors $1 for each $1,000 of gross receipts
Professional Sports Events $1 for each $1,000 of gross receipts
Manufacturing $1 for each $1,000 of gross receipts
Most businesses fall under a general category and pay an annual license fee that is based
on the gross receipts of the business in that calendar year. Other specific business types,
such as administrative, construction contractors, or professional sports events pay a
specified rate that is based on various bookkeeping methods specific to that industry ;
however, they still utilize the gross receipts methodology. The model treats home
occupation as a general business and taxes based on gross receipts. The City pro vides
some exceptions to the tax that includes charitable organizations and a partial exemption
for non-profit entities.
2.4 Summary
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 8
The tax was passed as a specific tax, meaning that the revenue must be used for a
specific purpose and requires a two-thirds majority of voters in order to be implemented.
The tax was implemented to provide additional funding for housing and homelessness
initiatives. Based on the 2018-2019 adopted budget, the city generated approximately
$1,175,000 in revenue from the business tax or approximately 4% of the total revenue for
the fiscal year. The program is administered by the city’s Finance Department and does
not allow for payment of the business license tax to be made online. There is no
information in the budget relating to the number of dedicated FTE to the business license
tax program.
3. Mountain View
The following subsections provides information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of the City of
Mountain View.
3.1 Demographics
The City of Mountain View, California is located in Santa Clara County and has a
population of 81,438. The City of Mountain View has 635.75 full-time equivalent positions
across all departments in 2019. The City provides a variety of services including Police,
Fire, Water, Sewer, and Parks and Recreation. The City has approximately 3,700
businesses within its limits, the largest of which is Google. Prior to the adoption of the
revised employee count methodology in November 2018, the city was generating
approximately $252,000 in revenue from the tax, however the change in methodology is
estimated to generate nearly $6,000,000 in tax revenue per year. The largest industry
category, based on employment, within the City is Professional, Scientific & Technical
Services, holding 22.7% of the market, with Information and Manufacturing next at 13%
each.
3.2 Business License Tax Background
In 1954, the City of Mountain View adopted a business license tax that is based on the
square footage of a business. In November 2018, the current Business License Tax was
adopted after being approved by voters and is codified in the City Code Chapter 18. The
tax was submitted as a general tax, needing over 50% of voter approval to be pa ssed,
and went through a lengthy process prior to adoption.
The City set up focus groups, surveys and other outreach efforts over a year long process.
The results of the outreach were then reviewed by a subcommittee that reviewed the
information and made recommendations to City Council. In a survey conducted by the
City consisting of over 900 voters, 62% indicated they would support the tax and feel
businesses should pay their fair share to fix the problems they are partially responsible
for. Council then approved the parameters of the tax and submitted it for the November
ballot.
Business License Tax Program Review and Revenue Projections PALO ALTO, CALIFORNIA
Matrix Consulting Group Page 9
3.3 Business License Tax Structure
The City of Mountain View utilizes an employee count methodology of calculating
Business License Taxes. The tax includes a flat tax rate, followed by a per employee rate
that is based on the range of employees. The following table shows the license tax for
based on business employee count:
Mountain View Employee Headcount Tax
Number of Employees Base Per Employee Rate
1 $75
2-25 $75 $5 per employee over 1
26-50 $195 $10 per employee over 25
51-500 $445 $75 per employee over 50
501-1,000 $34,195 $100 per employee over 500
1,001-5,000 $84,195 $125 per employee over 1,000
5,000+ $584,195 $150 per employee over 5,000
As indicated by the table above, the license tax rate applied is based on the number of
employees the business has. The tax is calculated by adding the base rate by the per
employee rate.
The head count tax is calculated based on the average employee count from the last four
quarters as submitted to the state. The businesses must have a minimum of $5,000 in
gross revenue before the tax is applicable. Out of town businesses pay the same
incremental tax rate based on the number of employees but the fee is prorated based on
the average number of working days in the City during the calendar year.
3.4 Summary
The Mountain View tax code does not include a sunset clause, and only provides
exceptions to non-profits, public utility companies and businesses with less than $5,000
of revenue. The tax includes an annual escalator that is based on CPI adjustments and
is subject to the annual fee resolution. Based on the 2018-2019 adopted budget, the City
of Mountain View collected approximately $252,000 in revenue. The total revenue
collected from the Business License Tax makes up approximately 0.2% of the total
General Fund revenue for the fiscal year. However, with potential updates under
consideration, the City projects generating near $6 million in revenue, increasing the
percentage of Business License Tax revenue from 0.2% to 4% of total General Fund
revenue if implemented.
The City’s Finance & Administration Services Department administers the business
license program in-house with 1 FTE dedicated. Business owners do not have the ability
to pay the tax online.
4. Redwood City
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The following subsections provides information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of Redwood City.
4.1 Demographics
Redwood City, California is located in San Mateo County and has a population of 86,685.
According to the 2018-2019 Adopted Budget, Redwood City has 564.36 full-time
equivalent positions across all departments and generated $2,685,012 in revenue from
the business license tax. The City offers some services to the public including, Police,
Water, Sewer, Parks and Recreation, and Library. The City has approximately 6,275
businesses within its limits. Based on employment statistics, the largest industry within
the City is Professional, Scientific, & Technical Services at 14.3%, followed by Healthcare
at 11.1% and Retail with 9.88%.
4.2 Business License Tax Background
Redwood City first adopted its Business License Tax in 1990 and was updated it in 2016
to specify additional business types that may not fall within the employee method . The
City currently utilizes an Employee Count methodology in calculating the tax that varies
based on business type. The tax is codified in Article V Business Licenses Sect ion 32 of
the City’s code.
4.3 Business License Tax Structure
Redwood City adopted an employee count-based tax that increases incrementally based
on the number of employees and is dependent on business type. The tax structure adds
a $68 Base Tax to a Unit Tax that is either incremental per employee tax or flat for specific
business types, including rental units, Christmas tree lot sales, and Real Estate
Brokerages. The following table shows Redwood City’s Employee Count based Business
License Tax structure:
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Redwood City Employee Count Tax Structure
Business Type Base Tax Unit Tax
General $68 $45.00 per employee + $22.00 per part-time
Other:
Residential Property Rental $68 $25.00 per unit of dwelling space in excess of 3 units
Non-Residential Property Rental $68 $25.00 per 1000 sq. ft. or fraction
Real Estate Brokerage $68 $46.00 per salesperson or employee
Dance Hall Operator $68 $678.00 flat annual
Vehicle Wrecking Facility $68 $678.00 flat annual
Christmas Tree Lot Sales Operation $68 $678.00 flat annual
Commercial Advertising $68 $678.00 flat annual
Fortuneteller $68 $678.00 flat annual
Junk Collector $68 $678.00 flat annual
Pawnbroker $68 $678.00 flat annual
Itinerant Vendor $68 $46.00 per week
Solicitor/Hawkers $68 $46.00 per day
Peddlers $68 $46.00 per person
Curb Painters $68 $25.00 per day per person
Carnival Operator $68 $564.00 per day
Coin-Operated Device Activity $68 $13.00 per device
Vehicle Operation $0 $68.00 per vehicle
Contracting $68 $46.00 flat annual
As indicated by the table above, the Business Type is separated into two categories;
General and Other. The other business types have a unit tax that is based on specific
characteristics of the business type.
4.4 Summary
The program is administered in-house and the revenue collected from the tax is used for
general purposes across the city. The tax structure has a built-in annual escalator and
does not utilize a sunset clause. The code identifies charitable organizations, disabled
veterans, and businesses exempt by the constitution, care facilities, home occupation,
recreation instruction, and public utilities as exempt from the tax. Redwood City collected
$2,628,053 in revenue from the tax, approximately 2% of the total General Fund revenue
for the fiscal year. Online forms of payment of the tax are accepted and the City’s
Administrative Services Department Finance and Revenue Services division administers
and manages the program.
5. San Francisco
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The following subsections provides information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of the City and
County of San Francisco.
5.1 Demographics
The City and County of San Francisco, California has a population of 884,363. According
to the annual budget, San Francisco has 30,960 full-time equivalent positions across all
departments. San Francisco is a full-service jurisdiction, meaning that it provides all public
services, including, Police, Fire, Utilities (Electricity, Water, Sewer), Stormwater, Public
Works, Parks and Recreation in addition to the services normally provided by cities.
The City has approximately 102,566 businesses within its limits. The largest industry,
based on employment, within the city is Professional, Scientific & Technical Services,
holding 21.7% of the market, Healthcare holding 11.3% of the employment market, and
Hospitality with 9.04% of market share of employment.
5.2 Business License Tax Background
The City and County of San Francisco has the most complex Business License Tax
procedure of the jurisdictions in the comparative. In 2017, the change in the business
license tax structure lead to a legal question on whether a citizen’s initiative is a tax
imposed by local government. The California Supreme Court’s decision in California
Cannabis Coalition v. City of Upland concluded in a two-thirds majority that taxes imposed
as citizen initiatives are separate from taxes imposed by local government. City and
County officials argued that the court decision supported their imposition of the tax as a
general tax, and therefore requiring only a simple majority. The tax was passed with 61%
of voters indicating they are in favor of the tax.
The jurisdiction utilizes a gross receipts and payroll methodology when calculating its
Business License Tax. The most recent update to the process was in 2014, where the
payroll portion was implemented. As a result of the 2012 election and beginning 2014,
the payroll tax methodology was phased-out over a five-year period and replaced by the
gross receipts model. The adopted gross receipts rates increased incrementally from 10%
to 100% over a five-year period, while payroll expense tax rates decreased from 1.35%
to 0% in the same timeframe.
5.3 Business License Tax Structure
Businesses in San Francisco are required to pay a percentage of their annual gross
receipts based on the range of gross receipts. Gross receipts are defined as the total
amount of revenue received by a business, including sales, services, rent and advances
services. The city levies a 0.38% payroll tax on all expenses to all businesses within the
city whose annual payroll expense exceeds $300,000. The following tables show the
Payroll Expense Tax Rate formula used by the City to calculate the business tax amount:
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Payroll Expense Tax Rate
PAYRATE18 = 0% + PADJ18
Payroll Expense Tax Rate Adjustment
PADJ 18 = MR18/(PAYTAX17/PAYRATE17)
As indicated by the table above, the payrate is equivalent to the payroll tax rate
adjustment factor. The payroll expense tax rate adjustment is equal to the missed rate
divided by the payroll expense tax rate of the previous year. The following table provides
the formula to calculate missing revenue:
Missing Revenue (MRyear)
MR 18 = ADM 17 + $39,858,720 + ER 17 – (100%/75%) ×
GRTAX 17 – REG 17
As shown in the table above, missing revenue is equal to ADMyear, an estimate of the
additional expense incurred by the tax collector in administering the tax, plus $39,858,720
plus the expected revenue of the amount of payroll tax subtracted by 100%/75%
multiplies by the gross receipts tax revenue due for that year minus the business
registration fee. The following tables provide examples of the gross receipts tax structure
the city uses to calculate the tax:
Gross Receipts Tax Applicable to Professional Services
Tax Percentage Gross Receipts Range Rate
0.400% $0 to $1,000,000 $4 per $1,000
0.460% $1,000,001 to $2,500,000 $4.60 per $1,000
0.510% $2,500,001 to $25,000,000 $5.10 per $1,000
0.560% $25,000,000+ $5.60 per $1,000
Gross Receipts Tax Applicable to Real Estate and Rental and Leasing
Tax Percentage Gross Receipts Range Rate
0.285% $0 to $1,000,000 $2.85 per $1,000
0.285% $1,000,001 to $2,500,000 $2.85 per $1,000
0.300% $2,500,001 to $25,000,000 $3.00 per $1,000
0.300% $25,000,000+ $3.00 per $1,000
The gross receipts tax is calculated by taking the total number of gross receipts and
finding the range it falls within, then multiplying the corresponding rate per $1,000 of gross
receipts. For example, if an insurance company reports gross receipts of $3,000,000, the
company’s tax formula would be $3.00 for every $1,000 of gross receipts
($3,000,000/$1,000 x $3.00) totaling $9,000.
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5.4 Summary
The code does not include a sunset clause and does not specify the usage of the tax
revenue, meaning that the tax is considered to be a general tax. The business tax code
exempts the tax if the organization is federally exempt from tax, an income tax exemp t
organization, or is a small business that collects less than $1 million in gross receipts
annually. According to the budget, San Francisco collected $820,042,067 in revenue from
the Business License Tax, approximately 9% of the total General Fund revenue for FY
2018-2019. There is no annual escalator built into the tax other than the five -year
implementation plan previously outlined. Businessowners can pay the tax online as the
program is administered in-house by the Office of the Treasurer and Tax Collector.
The City of San Francisco’s gross receipts tax has been challenged by some members
of the public in court after it passed in November 2018 where it received a majority of
votes in favor. The court ruled that the tax was not imposed by a local government agency,
but rather by the public; therefore, not requiring a two-thirds majority and subject to the
limitations of a special tax.
6. San Jose
The following subsections provide information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of San Jose.
6.1 Demographics
The City of San Jose, California is located in Santa Clara County and has a population of
1,035,000. The City of San Jose has 6,413 full-time equivalent positions across all
departments. San Jose is a full-service city, meaning that it provides all public services,
including, Police, Fire, Utilities (Water, Sewer), Stormwater, Public Works, Parks and
Recreation in addition to the services normally provided by cities. The City has
approximately 58,000 businesses within its limits and generated $72,200,000 in revenue
from the business license tax in FY 2017-2018. Based on employment statistics, the
largest industry within the City is Manufacturing at 14.2% of the market share of
employment, followed by Professional, Scientific, & Technical Services at 13.1% then
Healthcare with 11.6%.
6.2 Business License Tax Background
The City of San Jose utilizes an Employee Count methodology in calculating business
taxes. The tax was most recently updated in July 2016 and is codified in Title 6 – Business
Licenses and regulations Chapter 6. The process of executing the tax began when a
“Notice of Circulation” was filed by two members of the public. The Notice of Circulation
is an initiative giving notice of a submission to the electors at special election. The notice
proposed a change to the city’s business tax.
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City Council responded to the notice and proceeded to approve the hiring of consultants
to conduct a study with parameters set by City staff. In 2016, City Council approved the
ballot language and proposed parameters and the tax was passed based on a majority
of votes.
6.3 Business License Tax Structure
The City utilizes an Employee Count methodology that consists of a base rate plus an
incremental tax based on the number of employees a business has. The tax has two
major categories that effect the base and incremental tax r ate; Business and Residential
Landlord Rental Units. The table below outlines both major tax increments:
San Jose Business Tax
Range of Employees Incremental Tax per Employee
1-2 $200.85
3-35 $31.80
36-100 $42.40
101-500 $53.00
501+ $63.65
San Jose Residential Landlord Rental Units
Number of Employees Incremental Tax per Employee
1-2 $200.85 (Base tax)
3-35 $10.60
36-100 $15.90
101-500 $21.20
501+ $26.50
The City places a rate dependent on the range of employees a business or residential
landlord has. The business tax has a maximum of $159,135 that it can collect from one
single business in a year. The City also has a Commercial Rental Tax that has the same
base rate as the Residential tax and charges $0.0265 per square foot.
6.4 Summary
The City uses a Cost of Living Adjustment (COLA) that increases the cap of the rate
between 1% to 3% annually to adjust for cost of living expenses. Based on the adopted
budget from Fiscal Year 2018-2019, the City generated $72,200,000 in revenue from its
tax. Approximately 6% of the total General Fund revenue for the fiscal year is attributed
to the business tax. The tax does not have a specified usage, making it a general tax,
and only provides exception to low revenue generating businesses and low -income rental
units. The business license program is administered internally by the Finance Department
and does not specify the number of dedicated FTE to the program.
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7. San Mateo
The following subsections provide information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of San Mateo.
7.1 Demographics
The City of San Mateo, California is located in San Mateo County and has a population
of 104,748. According to the annual budget, the City of San Mateo has 686 full -time
equivalent positions across all departments. San Mateo offers some services to the public
including, Police, Water, Sewer, Library, and Parks and Recreation. Based on
employment statistics, the largest industry within the City is Professional, Scientific, &
Technical Services at 14.3%, followed by Healthcare with 11.1%, and Retail with 9.88%.
7.2 Business License Tax Background
The City of San Mateo adopted its business tax model in 1976 and utilizes a gross
receipts methodology of calculating the tax. The tax is codified under Chapter 7.05
Business License Tax under the City’s municipal code.
7.3 Business License Tax Structure
The City of San Mateo’s Business License Tax model based on gross receipts determines
the rate of the tax based on the gross receipts of a business. The following table shows
the Business License Tax model for San Mateo:
San Mateo Gross Receipts
Gross Receipts Tax Rate
Over $750,000 and under $5,000,000 $0.30/1,000 Gross Receipts
Over $5,000,000 and under $10,000,000 $0.25/1,000 Gross Receipts
Over $10,000,000 $0.20/1,000 Gross Receipts
San Mateo Other Business Tax
Business Classification Base Tax Incremental Tax
Administrative Headquarters $64 $4.25 per employee
Billiards $64 $32 per table
Contractor $160
Gardener $80
Manufacturing $64 $4.25 per employee + gross receipts
Based on the gross receipts of the business that operates within the City, the tax rate is
divided by 1,000 per gross receipts to calculate the tax. The City has a separate tax
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calculation for specific business classifications that includes a base rate plus an
incremental tax based on the specific business function. For example, Manufacturing
business pay a $64 base fee plus $4.25 per employee plus the gross receipts schedule ,
however a Billiards business pays its tax based on the number of tables it uses. The
incremental tax is designed to be specific to each business type, as there are unique
businesses that may not have the gross receipts, or it is more difficult to track.
7.4 Summary
The City’s Finance Department administers its business license program and utilizes the
funds for general functions across the City. The code does not include an annual escalator
and does not utilize a sunset clause and payment of the tax can be made online . The
code outlines exemptions for non-profit organizations and disabled veterans. According
to the 2018-2019 Adopted Budget, the City of San Mateo generated $5,939,518 in
Business License Tax revenue, making up about 5% of the total General Fund revenue
for the fiscal year.
8. Santa Clara
The following subsections provide information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters of Santa Clara.
8.1 Demographics
The City of Santa Clara, California is located in Santa Clara County and has a population
of 127,134. According to the annual budget, the City of Santa Clara has 1,111 full -time
equivalent positions across all departments. Santa Clara offers a variety of services to
the public including, Utilities (Electricity and Water) Sewer, Fire, Police, Parks and
Recreation, and Library. The City has approximately 13,000 businesses within its limits.
Based on employment statistics, the largest industry within the City is Professional,
Scientific, & Technical Services at 20.5%, followed by Manufacturing at 19.3%, then
Healthcare with 9.35%.
8.2 Business License Tax Background
The City of Santa Clara utilizes an Employee Count based business tax that was last
updated in 2003. The tax is codified under Chapter 3.40 Business Tax.
8.3 Business License Tax Structure
The Employee Count model applies to a majority of the business types that operate with
the City. The City has also adopted a flat tax that only applies to specific business types.
The progressive employee count model applies to three general categories : Commercial
Employees, Professional Employees and Manufacturing Employees. The following tables
provide the tax structure for the three classifications utilized:
Santa Clara Commercial Employee Tax Structure
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Number of
Employees
Business License Tax
(Commercial)
1 $15
2 $30
6 $70
11 $90
16 $115
21 $175
26 $225
31 $280
41 $330
56 $380
76 $460
101+ $500
Santa Clara Professional Employee Tax Structure
Number of
Employees
Business License Tax
(Professional)
1 $15
2 - 3 $30
4 - 6 $70
7 - 10 $90
11 - 20 $115
21 - 25 $175
26 - 35 $225
36 - 40 $280
41 - 45 $330
46 - 50 $380
51 - 55 $460
56 + $500
Santa Clara Manufacturing Employee Tax Structure
Number of
Employees
Business License Tax
(Manufacturing)
1 – 3 $15
4 – 20 $45
21 – 30 $65
31 – 50 $100
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Number of
Employees
Business License Tax
(Manufacturing)
51 – 75 $135
76 – 100 $175
101 – 125 $225
126 – 175 $280
176 – 225 $330
226 – 300 $380
301 – 400 $460
401 + $500
Santa Clara Commercial Flat Tax
The tax is determined by taking the number of employees in the company, finding what
range the number falls within, and applying the designated fee. It is important to note that
the Santa Clara tax is not per employee but a flat fee per size category. The code also
identifies specific types of businesses that do not fall under the three categories. Those
categories are charged a flat tax that ranges from $75 to $400. Some examples of
businesses that qualify for a flat tax include; detective agency, circus, fortuneteller,
carnival, and escort service.
8.4 Summary
The code does not include an annual escalator and identifies the usage of the tax revenue
collected to be for general purposes. Based on the FY 2018-2019 adopted budget, Santa
Clara collected approximately $950,000 in revenue from the tax, less than half a percent
of the total revenue. The code identifies charitable organizations and non-profit entities to
be exempt from the tax and does not include a sunset clause. Payment of the business
license tax can be made online and is administered in -house through the Finance
Municipal Services Division with a total 29.20 FTE, however, the exact number dedicated
to the program is unavailable.
9. Sunnyvale
The following subsections provide information regarding demographics, tax background,
tax structure, and a summary of the Business License Tax parameters.
9.1 Demographics
Business Type Flat Tax
Carnival $150 per day
Detective Agency $150
Escort Service $150
Itinerant Merchant $225 (190-day maximum)
Peddler $113
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The City of Sunnyvale is located in Santa Clara County and has a population of 152,389.
The City of Sunnyvale has 908 full-time equivalent positions across all departments.
Sunnyvale offers a variety of services to the public including, Water, Sewer, Fire, Police
and Library. The City has approximately 7,875 businesses within its limits. Based on
employment statistics, the largest industry within the City is Professional, Scientific, &
Technical Services at 27.4%, followed by Manufacturing at 20.4%, then Healthcare with
14.8%.
9.2 Business License Tax Background
The City of Sunnyvale adopted a Business License Tax in 1968 and utilizes employee
count as its methodology to calculate the tax business paid. The tax code was last
updated in 2007 to include rental units and set a tiered system with caps on the tax that
is to be paid for rental units and number of employees. The tax is codified in Title 5
Business Licenses and Regulations Chapter 5. On March 26, 2019, the City Council gave
staff direction to evaluate options for the revision of the city’s business license tax
program.
9.3 Business License Tax Structure
The business license for the City of Sunnyvale is for a two-year period and is generally
based upon the number of employees. The employee count method uses a formula to
calculate the tax. This formula is based upon 2019 Tax + 2020 Tax + $4.00 State CASp
Fee. The CASp fee is a state mandated fee that is required as an attachment to all
business license taxes in California, more information is provided in the following chapter.
The tax amount for 2019 and 2020 is dependent upon the number of employees. The
following table shows the detailed Business License Tax structure for Sunnyvale based
upon the number of employees or rental units.
Business exempt from the license tax include: banks and financial institutions, charitable
institutions and nonprofit organizations, for-hire motor carrier of property, home day care
provider for eight or fewer children, insurance broker-agents, public utility franchise,
residential care facilities that serve six or fewer residents, and veteran -operated
businesses that meet specific criteria.
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# of Employees or
Rental Units
2019 + 2020 +
CASp 2019 Tax 2020 Tax
# of Employees or
Rental Units
2019 + 2020 +
CASp 2019 Tax 2020 Tax
1 $81.15 $38.26 $38.89 481-485 $12,645.04 $6,188.60 $6,452.44
2-5 $134.32 $63.80 $66.52 486-490 $12,775.36 $6,252.40 $6,518.96
6-10 $264.64 $127.60 $133.04 491-495 $12,905.68 $6,316.20 $6,585.48
11-15 $394.96 $191.40 $199.56 496-500 $13,036.00 $6,380.00 $6,652.00
16-20 $525.28 $255.20 $266.08 501-505 $13,166.32 $6,443.80 $6,718.52
21-25 $655.60 $319.00 $332.60 506-510 $13,296.64 $6,507.60 $6,785.04
26-30 $785.92 $382.80 $399.12 511-515 $13,426.96 $6,571.40 $6,851.56
31-35 $916.24 $446.60 $465.64 516-520 $13,557.28 $6,635.20 $6,918.08
36-40 $1,046.56 $510.40 $532.16 521-525 $13,687.60 $6,699.00 $6,984.60
41-45 $1,176.88 $574.20 $598.68 526-530 $13,817.92 $6,762.80 $7,051.12
46-50 $1,307.20 $638.00 $665.20 531-535 $13,948.24 $6,826.60 $7,117.64
51-55 $1,437.52 $701.80 $731.72 536-540 $14,078.56 $6,890.40 $7,184.16
56-60 $1,567.84 $765.60 $798.24 541-545 $14,208.88 $6,954.20 $7,250.68
61-65 $1,698.16 $829.40 $864.76 546-550 $14,339.20 $7,018.00 $7,317.20
66-70 $1,828.48 $893.20 $931.28 551-555 $14,469.52 $7,081.80 $7,383.72
71-75 $1,958.80 $957.00 $997.80 556-560 $14,599.84 $7,145.60 $7,450.24
76-80 $2,089.12 $1,020.80 $1,064.32 561-565 $14,730.16 $7,209.40 $7,516.76
81-85 $2,219.44 $1,084.60 $1,130.84 566-570 $14,860.48 $7,273.20 $7,583.28
86-90 $2,349.76 $1,148.40 $1,197.36 571-575 $14,990.80 $7,337.00 $7,649.80
91-95 $2,480.08 $1,212.20 $1,263.88 576-580 $15,121.12 $7,400.80 $7,716.32
96-100 $2,610.40 $1,276.00 $1,330.40 581-585 $15,251.44 $7,464.60 $7,782.84
101-105 $2,740.72 $1,339.80 $1,396.92 586-590 $15,381.76 $7,528.40 $7,849.36
106-110 $2,871.04 $1,403.60 $1,463.44 591-595 $15,512.08 $7,592.20 $7,915.88
111-115 $3,001.36 $1,467.40 $1,529.96 596-600 $15,642.40 $7,656.00 $7,982.40
116-120 $3,131.68 $1,531.20 $1,596.48 601-605 $15,772.72 $7,719.80 $8,048.92
121-125 $3,262.00 $1,595.00 $1,663.00 606-610 $15,903.04 $7,783.60 $8,115.44
126-130 $3,392.32 $1,658.80 $1,729.52 611-615 $16,033.36 $7,847.40 $8,181.96
131-135 $3,522.64 $1,722.60 $1,796.04 616-620 $16,163.68 $7,911.20 $8,248.48
136-140 $3,652.96 $1,786.40 $1,862.56 621-625 $16,294.00 $7,975.00 $8,315.00
141-145 $3,783.28 $1,850.20 $1,929.08 626-630 $16,424.32 $8,038.80 $8,381.52
146-150 $3,913.60 $1,914.00 $1,995.60 631-635 $16,554.64 $8,102.60 $8,448.04
151-155 $4,043.92 $1,977.80 $2,062.12 636-640 $16,684.96 $8,166.40 $8,514.56
156-160 $4,174.24 $2,041.60 $2,128.64 641-645 $16,815.28 $8,230.20 $8,581.08
161-165 $4,304.56 $2,105.40 $2,195.16 646-650 $16,945.60 $8,294.00 $8,647.60
166-170 $4,434.88 $2,169.20 $2,261.68 651-655 $17,075.92 $8,357.80 $8,714.12
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# of Employees or
Rental Units
2019 + 2020 +
CASp 2019 Tax 2020 Tax
# of Employees or
Rental Units
2019 + 2020 +
CASp 2019 Tax 2020 Tax
171-175 $4,565.20 $2,233.00 $2,328.20 656-660 $17,206.24 $8,421.60 $8,780.64
176-180 $4,695.52 $2,296.80 $2,394.72 661-665 $17,336.56 $8,485.40 $8,847.16
181-185 $4,825.84 $2,360.60 $2,461.24 666-670 $17,466.88 $8,549.20 $8,913.68
186-190 $4,956.16 $2,424.40 $2,527.76 671-675 $17,597.20 $8,613.00 $8,980.20
191-195 $5,086.48 $2,488.20 $2,594.28 676-680 $17,727.52 $8,676.80 $9,046.72
196-200 $5,216.80 $2,552.00 $2,660.80 681-685 $17,857.84 $8,740.60 $9,113.24
201-205 $5,347.12 $2,615.80 $2,727.32 686-690 $17,988.16 $8,804.40 $9,179.76
206-210 $5,477.44 $2,679.60 $2,793.84 691-695 $18,118.48 $8,868.20 $9,246.28
211-215 $5,607.76 $2,743.40 $2,860.36 696-700 $18,248.80 $8,932.00 $9,312.80
216-220 $5,738.08 $2,807.20 $2,926.88 701-705 $18,379.12 $8,995.80 $9,379.32
221-225 $5,868.40 $2,871.00 $2,993.40 706-710 $18,509.44 $9,059.60 $9,445.84
226-230 $5,998.72 $2,934.80 $3,059.92 711-715 $18,639.76 $9,123.40 $9,512.36
231-235 $6,129.04 $2,998.60 $3,126.44 716-720 $18,770.08 $9,187.20 $9,578.88
236-240 $6,259.36 $3,062.40 $3,192.96 721-725 $18,900.40 $9,251.00 $9,645.40
241-245 $6,389.68 $3,126.20 $3,259.48 726-730 $19,030.72 $9,314.80 $9,711.92
246-250 $6,520.00 $3,190.00 $3,326.00 731-735 $19,161.04 $9,378.60 $9,778.44
251-255 $6,650.32 $3,253.80 $3,392.52 736-740 $19,291.36 $9,442.40 $9,844.96
256-260 $6,780.64 $3,317.60 $3,459.04 741-745 $19,421.68 $9,506.20 $9,911.48
261-265 $6,910.96 $3,381.40 $3,525.56 746-750 $19,552.00 $9,570.00 $9,978.00
266-270 $7,041.28 $3,445.20 $3,592.08 751-755 $19,682.32 $9,633.80 $10,044.52
271-275 $7,171.60 $3,509.00 $3,658.60 756-760 $19,812.64 $9,697.60 $10,111.04
276-280 $7,301.92 $3,572.80 $3,725.12 761-765 $19,942.96 $9,761.40 $10,177.56
281-285 $7,432.24 $3,636.60 $3,791.64 766-770 $20,073.28 $9,825.20 $10,244.08
286-290 $7,562.56 $3,700.40 $3,858.16 771-775 $20,203.60 $9,889.00 $10,310.60
291-295 $7,692.88 $3,764.20 $3,924.68 776-780 $20,333.92 $9,952.80 $10,377.12
296-300 $7,823.20 $3,828.00 $3,991.20 781-785 $20,464.24 $10,016.60 $10,443.64
301-305 $7,953.52 $3,891.80 $4,057.72 786-790 $20,594.56 $10,080.40 $10,510.16
306-310 $8,083.84 $3,955.60 $4,124.24 791-795 $20,724.88 $10,144.20 $10,576.68
311-315 $8,214.16 $4,019.40 $4,190.76 796-800 $20,855.20 $10,208.00 $10,643.20
316-320 $8,344.48 $4,083.20 $4,257.28 801-805 $20,985.52 $10,271.80 $10,709.72
321-325 $8,474.80 $4,147.00 $4,323.80 806-810 $21,115.84 $10,335.60 $10,776.24
326-330 $8,605.12 $4,210.80 $4,390.32 811-815 $21,246.16 $10,399.40 $10,842.76
331-335 $8,735.44 $4,274.60 $4,456.84 816-820 $21,376.48 $10,463.20 $10,909.28
336-340 $8,865.76 $4,338.40 $4,523.36 821-825 $21,506.80 $10,527.00 $10,975.80
341-345 $8,996.08 $4,402.20 $4,589.88 826-830 $21,637.12 $10,590.80 $11,042.32
346-350 $9,126.40 $4,466.00 $4,656.40 831-835 $21,767.44 $10,654.60 $11,108.84
351-355 $9,256.72 $4,529.80 $4,722.92 836-840 $21,897.76 $10,718.40 $11,175.36
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# of Employees or
Rental Units
2019 + 2020 +
CASp 2019 Tax 2020 Tax
# of Employees or
Rental Units
2019 + 2020 +
CASp 2019 Tax 2020 Tax
356-360 $9,387.04 $4,593.60 $4,789.44 841-845 $22,028.08 $10,782.20 $11,241.88
361-365 $9,517.36 $4,657.40 $4,855.96 846-850 $22,158.40 $10,846.00 $11,308.40
366-370 $9,647.68 $4,721.20 $4,922.48 851-855 $22,288.72 $10,909.80 $11,374.92
371-375 $9,778.00 $4,785.00 $4,989.00 856-860 $22,419.04 $10,973.60 $11,441.44
376-380 $9,908.32 $4,848.80 $5,055.52 861-865 $22,549.36 $11,037.40 $11,507.96
381-385 $10,038.64 $4,912.60 $5,122.04 866-870 $22,679.68 $11,101.20 $11,574.48
386-390 $10,168.96 $4,976.40 $5,188.56 871-875 $22,810.00 $11,165.00 $11,641.00
391-395 $10,299.28 $5,040.20 $5,255.08 876-880 $22,940.32 $11,228.80 $11,707.52
396-400 $10,429.60 $5,104.00 $5,321.60 881-885 $23,070.64 $11,292.60 $11,774.04
401-405 $10,559.92 $5,167.80 $5,388.12 886-890 $23,200.96 $11,356.40 $11,840.56
406-410 $10,690.24 $5,231.60 $5,454.64 891-895 $23,331.28 $11,420.20 $11,907.08
411-415 $10,820.56 $5,295.40 $5,521.16 896-900 $23,461.60 $11,484.00 $11,973.60
416-420 $10,950.88 $5,359.20 $5,587.68 901-905 $23,591.92 $11,547.80 $12,040.12
421+ $11,081.20 $5,423.00 $5,654.20 906-910 $23,722.24 $11,611.60 $12,106.64
Rental Unit Cap 911-915 $23,852.56 $11,675.40 $12,173.16
426-430 $11,211.52 $5,486.80 $5,720.72 916-920 $23,982.88 $11,739.20 $12,239.68
431-435 $11,341.84 $5,550.60 $5,787.24 921-925 $24,113.20 $11,803.00 $12,306.20
436-440 $11,472.16 $5,614.40 $5,853.76 926-930 $24,243.52 $11,866.80 $12,372.72
441-445 $11,602.48 $5,678.20 $5,920.28 931-935 $24,373.84 $11,930.60 $12,439.24
446-450 $11,732.80 $5,742.00 $5,986.80 936-940 $24,504.16 $11,994.40 $12,505.76
451-455 $11,863.12 $5,805.80 $6,053.32 941-945 $24,634.48 $12,058.20 $12,572.28
456-460 $11,993.44 $5,869.60 $6,119.84 946+ $24,764.80 $12,122.00 $12,638.80
461-465 $12,123.76 $5,933.40 $6,186.36 Employee Cap
466-470 $12,254.08 $5,997.20 $6,252.88
471-475 $12,384.40 $6,061.00 $6,319.40
476-480 $12,514.72 $6,124.80 $6,385.92
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The structure is set up in ranges of five employees and increases incrementally as the
number of employees or rental units increases. For every five employees, the rate
increases by $63.80 for the 2019 tax and $66.52 for the 2020 tax, totaling in an increase
of $130.32 for every five employees. The table caps the tax for the number of rental units
at 421 units and the number of employees at 946 employees. Once a business reaches
those thresholds there is no corresponding increase in tax amount.
9.4 Summary
The City of Sunnyvale collected $1,840,495 in revenue from the tax, less than 1% of the
total General Fund revenue for the fiscal year. The City utilizes the funds for a general
purpose and administers the program in-house. Sunnyvale’s Department of Finance
revenue utility billing business license administers the program in-house with 1.80 FTE
dedicated and accepts online payment of the tax.
The Business License Tax does not utilize an annual escalator, but rather has a built -in
methodology of increasing the tax rate annually. Charitable organizations, Disabled
veterans, Public Utilities and Federal Tax-Exempt entities are exempt from paying the tax
and it does not utilize a sunset clause.
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3 Summary of Business License Tax Programs
This chapter of the report is focused on summarizing the information gathered from each
of the jurisdictions. The following subsections provide an overview of the comparison of
data points and the execution of the Business License Tax.
1. Demographic Comparison
The project team collected demographics information of the comparable cities including
population, number of businesses and services provided. The following table summarizes
the information collected:
Demographic Information
City Population # of Businesses
Cupertino 60,777 3,800
East Palo Alto 29,765 1,527
Mountain View 81,438 3,700
Redwood City 86,685 6,275
San Francisco 884,363 102,556
San Jose 1,035,000 58,000
San Mateo 104,748 7,486
Santa Clara 127,134 13,000
Sunnyvale 152,389 7,875
Palo Alto 61,178 5,496
As the table indicates, San Jose and San Francisco have the largest populations at
1,035,000 and 884,363, while East Palo Alto has the lowest at 29,765. San Francisco has
over 102,000 businesses within its jurisdiction while East Palo Alto has the lowest number
at approximately 1,527.
2. Employment by Industry Comparison
The project team also gathered employment data for each of the jurisdictions in the
comparative to display the types of industries that are located within the City. This
information provides additional context that may be useful in understanding why a spec ific
methodology was adopted by a specific community. The following table provides a
breakdown of the business makeup for each jurisdiction using Employment by Industry
derived from the Bureau of Data and Statistics and the US Census for 2017 :
Employment by Industry
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Industry Cupertino
East
Palo
Alto
Mountain
View
Redwood
City
San
Francisco
San
Jose
San
Mateo
Santa
Clara Sunnyvale Palo Alto
Professional 29% 6% 23% 14% 22% 13% 15% 21% 27% 25%
Information 7% 3% 13% 5% 6% 4% 5% 8% 8%
Manufacturing 22% 7% 13% 8% 4% 16% 9% 19% 20% 13%
Education 7% 8% 9% 9% 7% 8% 8% 8% 14%
Healthcare 9% 12% 9% 11% 11% 12% 11% 9% 15% 11%
Retail 7% 12% 7% 10% 9% 9% 9% 8% 5%
Hospitality 3% 14% 6% 7% 9% 8% 9% 6% 6% 5%
Administrative 11% 3% 6% 4% 5% 6% 2%
Construction 2% 8% 3% 7% 3% 6% 5% 3% 1%
As indicated by the table above, the industry most commonly found in the top three
industries with the most employment among the jurisdictions compared is professional
services. Healthcare and Manufacturing are two industries that are also commonly found
and appear in the top three industries for most jurisdictions, with the exception of East
Palo Alto, Redwood City and San Francisco. The City of Palo Alto follows the trends in
the surrounding areas with professional service and manufacturing industries being
among the largest, however, education is the second largest industry based on
employment, not shared in the top three with other jurisdictions .
3. Business License Tax
The surveyed jurisdictions had business license programs based upon several criteria
including, Employee Count, Gross Receipts, Square Foot, and Payroll. The following
tables summarizes the general and financial information for the Business License Tax
programs for each jurisdiction:
Business License Tax General Information
City Business License
Type Special or General Tax Year
Adopted
Cupertino Square Foot General 1992
East Palo Alto Gross Receipts Specific 2016
Mountain View Employee Count General 2018
Redwood City Employee Count General 1990
San Francisco Gross Receipts; Payroll General 2011
San Jose Employee Count General 2016
San Mateo Gross Receipts General 1976
Santa Clara Employee Count General 2003
Sunnyvale Employee Count General 1976
Business License Tax Financial Information
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City
Actual Business
License Revenue
BLT Revenue as
% of GF Total
Revenue
Revenue Per
Business
Cupertino $876,000 1% $230
East Palo Alto $1,175,000 4% $769
Mountain View $6,000,000 4% $1,621
Redwood City $2,628,000 2% $427
San Francisco $820,000,000 9% $3,388
San Jose $72,200,000 6% $1,244
San Mateo $5,940,000 5% $793
Santa Clara $915,000 0.5% $70
Sunnyvale $1,840,000 1% $233
Approximately 55% of jurisdictions utilize an Employee Count as the tax structure basis
and three out of nine jurisdictions (33%) employ the gross receipts structure. Cupertino
is the only jurisdiction in the survey that employs a Square Foot method. San Francisco
generates the highest revenue per business from the tax at an average of $3,388 while
Santa Clara collects the least at average of $70 per business. Santa Clara has the lowest
revenue as a percentage of total revenue at 0.5%, while San Jose collects 6% and San
Francisco has the highest percentage at 9%.
4. Business Tax Program Comparison
The five jurisdictions that utilize an employee count methodology in calculating a Business
License Tax have Professional services somewhere in the top three employment
industries. This approach provides a simple approach to assessing the business tax as
employee head count is an easy approach for the business to report and for the City to
confirm, using external data sources, the reported numbers to ensure compliance. The
City may wish to consider whether or not to include employees who work from home b ut
do not report to the physical workplace in the assessed employee counts. Any exemption
for work at home employees would reduce revenue received. EDD data used in these
projections includes all employees who are on the payroll at a business within the C ity of
Palo Alto and makes no distinction for those that may work from home.
All of the jurisdictions that utilize a Gross Receipts methodology in calculating a business
tax share Healthcare as one of the top employment industries. Cupertino is the only
jurisdiction that calculates business tax using square feet and Professional services and
Manufacturing are the two largest industries within its limits. The tax rate goes down
incrementally as business footprints get larger. If a square footage approach were utilized,
the program would need to provide a clear approach to auditing reporting business square
footage. This may be difficult due to data availability and the fact that many operations
have shared office areas and sub -leased office space arrangements that may make
tracking, auditing and administering the program more difficult.
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The following tables outline details of the business license tax program for each of the
comparable jurisdictions.
Business License Tax Details
City Exemptions Sunset Annual Escalator Usage Administration Payable
Online
Cupertino No No Yes General In-House Yes
East Palo Alto Yes No No Specific In-House No
Mountain View Yes No Yes General In-House No
Redwood City Yes No Yes General In-House Yes
San Francisco Yes No No General In-House Yes
San Jose Yes No Yes General In-House Yes
San Mateo Yes No No General In-House Yes
Santa Clara Yes No No General In-House No
Sunnyvale Yes No No General In-House Yes
Some businesses and occupations are exempt from local business taxation under state
or federal law including non-profit or charitable organizations (e.g., non-profit hospitals),
banks and other financial institutions that pay the state in -lieu tax, small residential care
facilities, and small home childcare facilities. The City can include other exemptions (e.g.,
small business, limited duration activity) in a proposed tax measure.
Tax Exemptions by Community
State Exemptions Local Exemptions
City
Non-
Profit
Charitable
Organizations
Public
Utility
Small
Business2
Disabled
Veteran
Low Income
Rental Units
Cupertino
East Palo Alto
Mountain View
Redwood City
San Francisco
San Jose
San Mateo
Santa Clara
Sunnyvale
• Most jurisdictions have some exemptions: All jurisdictions, with the exemption
of Cupertino, offer exemptions to the business license tax: All jurisdiction, with the
exception of Cupertino, offer exemptions to a variety of businesses. The most
common exemptions include: Non-Profits and Charitable Organizations.
2 Small businesses are defined by San Francisco and San Jose as generating less than $1 million in gross receipts
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• None of the jurisdictions have a sunset clause: No jurisdictions in the
comparative incorporated a sunset clause, requiring the re-adoption of the tax after
a certain period of time, in their business license tax structure.
• Most cities do not utilize an annual escalator: Cupertino, Mountain View,
Redwood City, and San Jose are the only jurisdictions that adjust the tax rate
annually. The remaining cities chose to not include an annual escalator that would
automatically increase or decrease the rate based on a specific set of factors.
• Most jurisdictions use the revenue collected for General Fund purposes: All
of the jurisdictions, with the exception of East Palo Alto use the revenue collected
from the tax for general spending in the General Fund. East Palo Alto utilizes the
funds from the tax for housing and homelessness purposes.
• All of the jurisdictions administer the business license tax in-house: All of the
jurisdictions chose to administer the program internally through either a Finance or
Business Development department, and not contract out the administration of the
program to a third-party consultant.
• Most jurisdictions allow business owners to pay the tax online: Most
jurisdictions give business owners the option to apply for a business license and
pay the tax online. Mountain View and East Palo Alto require the tax to be paid in
person.
The jurisdictions are generally in agreement on the details involved in the operation of the
Business License Tax. The jurisdictions generally offer exemptions to the tax and do not
have a sunset clause in the code. Most do not utilize an annual escalator and administer
the program in-house with the funds used for general purposes.
5. SB1186 License Fee (CASp)
Senate Bill 1186 adds a state fee on any applicant for a local business tax. Beginning
January 1, 2013, the fee is $1.00, followed by an increase on January 1, 2018 to $4.00
and a reduction to $1.00 on January 1, 2024. The purpose of the fee is to increase
disability access and compliance with construction-related accessibility requirements and
to develop educational resources for businesses in order to facilitate compliance with
federal and state disability laws.
Jurisdictions may attach the fee to the business lice nse tax applications or permits and
must use the revenue generated for two specific purposes; Training and Retention of
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Certified Access Specialist (CASp) and Activities or Programs That Facilitate Accessibility
Compliance.
6. Summary / Preliminary Findings
There are several key policy decisions that will need to be considered in the development
of a proposed Business License Tax Program for the City of Palo Alto. Based upon the
comparative research conducted and considering factors such as ease of
implementation, reliability of data, and maintaining a competitive approach in the regions,
the following key points are provided as initial recommendations for consideration
regarding key elements of a Business License Tax Program.
• Employee Based Fee: Most comparable entities are utilizing an employee count
approach to establishing business license tax fees. If the City were to utilize this
approach, it would be in alignment with other communities in the Bay Area. The
rate establishes should be calculated based upon the comparative fees charged
by other communities or businesses may factor this cost into decisions regarding
where to locate.
• Some exemptions should be included: All jurisdiction, with the exception of
Cupertino, offer exemptions to a variety of businesses. The most common
exemptions include: Non-Profits, Charitable Organizations, and Governmental
entities. The City should consider implementing exemptions in general alignment
with those utilized by other jurisdictions to maintain mark et competitiveness and
prevent businesses from considering locating in other communities due to the
business license tax program. Other exemptions could be imposed to promote
economic development of select types of businesses (either specific industries o r
business sizes).
• Sunset Clause: None of the jurisdictions in the comparative incorporated a sunset
clause, requiring the re-adoption of the tax after a certain period of time, in their
business license tax structure. The City would be consistent with these other
entities if they do not include a sunset clause.
• Annual escalator: While the majority of communities do not include an annual
escalator, the City of Palo Alto should consider implementing a small annual
escalator or include a review of the fees as part of the annual budget. Cupertino,
Mountain View, Redwood City, and San Jose presently have in place a procedure
for an automatic annual adjustment.
• Online Payment: The business tax should be established in a manner that
enables online application submittal, processing and payment of fees.
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• Program Administration: All of the communities surveyed have in-house staff to
administer the program. In addition to processing and issuing licenses, resources
(staff or contracted) would be required to ensure a sufficient auditing program were
developed and implemented to ensure compliance with the business license tax
program.
As additional direction is provided regarding the potential approaches under consideration
for a Business License Tax program, additional program parameters will be developed to
provide the framework for implementation and updated revenue projections will be
developed.
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4 Preliminary BLT Revenue Projections
In addition to the comparative survey of Business License Tax programs in other
municipalities, the scope of work focused on the development of Business License Tax
models based upon three different methodologies for assessing the tax specifically based
on: (1) business employee count, (2) business square footage, and (3) total business
payroll. The revenue estimates will be further refined as additional data cleansing and
reliability testing is conducted and more definitive potential program parameters are
developed. Certain program elements, such as exemptions, are generally not yet
factored into the revenue estimates. Specific data limitations and ongoing analytical work
is discussed in more detail below for each respective model. The following section s
provide the initial revenue projections.
1. Project Background and Methodology
Matrix Consulting Group was tasked with creating financial models for three different
business license structures based on different variables including:
• Number of employees per business.
• Square footage utilized by a business.
• Total payroll of a business.
Multiple databases from the City, State, and other third -party entities were utilized in
collecting and analyzing data including:
• The City’s current Business Registry.
• Employment data from the California Economic Development Department.
• Business rosters from the California Secretary of State.
• Business registry from the California Department of Tax and Fee Administration.
• Market data compiled by third-party vendors including InfoGroup, CoStar, and
Avenu Insights & Analytics/MuniServices.
1.1 Data Limitations
Creating revenue models for business license programs is a complex process that
requires reliable data to estimate the population and demographic make -up of the local
economy. In reviewing the various data sets provided by the City, we found t hat each
data base varied greatly in population size, and not all data contained the variables
needed for each model (employee count, square footage, payroll). At this time, we are in
the process of conducting data reliability tests from the multiple data sets to optimize our
estimates for each business license model.
The following preliminary summaries of the three business license models provide current
best estimates based upon available data that contained the requisite variables and
population size for projections. These estimates are still undergoing refinement and
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updating as the datasets are supplemented and refined. Data models presented below
should be used as preliminary estimates only at this time, and not as final, official
estimates. These projections are also based upon the utilization of a representative rate
for each methodology. This rate may be changed by the City to meet its specific needs
and desires regarding revenue generation and impact on business entities.
2. Model 1: Employee Count
The first business license model calculates business tax based on the total number of
employees at any given business. Not every data set included detail on the number of
employees, but we were able to evaluate data from the City’s current business registry,
California Economic Development Department data, and market data from Infogroup.
InfoGroup contained the largest population of businesses, with a population 5,9 45
businesses in its “verified” data base (“verified” indicating that the company’s researchers
verified business characteristics). About 84% of this dataset contained employee data for
us to conduct a preliminary model based on the 4,996 businesses reporting data who
employ approximately 72,748 people. In addition, InfoGroup has another data set
containing over 3,500 “unverified” businesses; however, we have excluded this
population until we are able to complete our data reliability testing. Since the “verified”
roster was the largest data set with the most detail on employee coun ts, we have relied
on this data set as a proxy for the local economy until we are able to complete our data
reliability testing to potentially consolidate and overlay the different data sets. Using this
method, it is estimated that a Business License Tax on employees could generate over
$3.6 million annually at the rates listed below.
Preliminary Employee Business License Model
Number of
Employees Number of
Businesses
Potential
Revenue
Min Max
- 1 701 $52,575
2 25 3,935 $407,585
26 50 178 $58,670
51 500 169 $1,199,830
501 1,000 6 $347,070
1,001 5,000 7 $1,565,615
Estimated Annual Revenue $3,631,345
Source: Employee estimates based on InfoGroup market data provided by the City.
The rates per employee adopted by the City of Mountain View (for adoption in 2020) were
used as a basis for calculating revenue potential for the City of Palo Alto. Rates can be
adjusted as deemed appropriate for the City of Palo Alto. Rates for the City of Mountain
View are highlighted in the table below.
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City of Mountain View Business License Rates
Beginning January 2020
Number of
Employees Business Registration and License Tax
1 $75
2 to 25 $75 + $5/employee over 1
26 to 50 $195 + $10/per employee over 25
51 to 500 $445 + $75/employee for each employee over 50 employees
501 to 1,000 $34,195 + $100/employee for each employee over 500 employees
1,001 to 5,000 $84,195 + $125/employee for each employee over 1,000 employees
5,001+ $584,195 + $150/employee for each employee over 5,000 employees
Source: City of Mountain View, Measure P; Business Registration and License Tax Ordinance
2.1 Employee Counts Subject to Change
As we continue our data reliability testing to determine whether InfoGroup’s two data sets
can be consolidated, and whether they align with other data sets from the City and State,
the employee counts and revenue estimates in this model may fluctuate.
At this time, no determinations have been made regarding exemptions so these are not
yet factored into the model or projections. Any business categories or industries
exempted will reduce the revenue projections.
3. Model 2: Square Footage
The second business license model estimates a business tax based on the square
footage used by any given business. Although a few of our data sets contained square
footage estimates, information was inconsistently recorded among the sources, and
business populations varied significantly between data sets. Data sets containing square
footage included the City’s current business registry, market data from CoStar, and
market data from InfoGroup.
Similar to our observations with employee counts, InfoGroup seemed to have the largest
population of businesses with 5,945 companies in its “verified” roster. About 92 percent
of this population, or 5,496 businesses, contained data on the square footage used by
individual businesses. Although this is the largest data set, square footage utilization was
not recorded in specific measurements, but in ranges. Data from CoStar and the City’s
business registry does contain more specific measurements by company; however, these
population sizes were significantly smaller. For the purposes of this preliminary model,
we have relied on InfoGroup’s “verified” roster of businesses to estimate a broad range
of potential revenue since specific measurements by company are not provided.
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Low revenue estimates assume that the total population of businesses in each square
footage tier are being taxed at the minimum square footage. High revenue estimates
assume that the total population of businesses in each square footage tier are being taxed
at the maximum square footage. While these are broad ranges, the reality is that annual
revenues will fall somewhere between these ranges due to the uncertainty of office space
used by companies. These are proxies for this preliminary estimate while we continue to
conduct our data reliability testing. Our preliminary model is presented in the following
table.
Preliminary Square Footage Business License Model
Square Feet Ranges Rate per
Sq. Ft.
Number of
Businesses
Potential Revenue
Min Max Low High
11 4,999 $0.0397 3,806 $15,110 $755,340
5,000 19,999 $0.0346 908 $157,084 $628,305
20,000 39,999 $0.0300 313 $187,800 $375,591
40,000 99,999 $0.0247 279 $275,652 $689,123
100,000 + $0.0197 190 $374,300 $748,6002
Totals 5,496 $1,009,946 $3,196,958
Source: Business populations and square footage ranges compiled from InfoGroup’s “verified” market
data provided by the City.
1Potential revenue for minimum square footage was calculated assuming that the minimum space used
was 100 square feet.
2High end potential revenue for the maximum square footage range was calculated with the assumption
that the maximum space used was 200,000 square feet. This was a judgmental proxy selected based
on a review of CoStar’s data base and the typical volume of space used by large companies.
For comparative purposes, we applied square footage rates from the City of Cupertino as
of January 1, 2019, in our square footage model. Rates can be adjusted as deemed
appropriate for the City of Palo Alto. Rates for the City of Cupertino are highlighted in the
following table.
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City of Cupertino Business License Rates
As of January 2019
Square Feet Tiers Rate per Sq. Ft.
0-5,000 $0.0397
5,001-25,000 $0.0346
25,001-75000 $0.0300
75,001-100,000 $0.0247
100,001-150,000 $0.0197
150,001+ $0.0050
Source: City of Cupertino Business License Rate Sheet, January 1, 2019.
3.1 Square Footage and Business Counts Subject to Change
As we continue our data reliability testing to determine whether InfoGroup’s two data sets
can be consolidated, and whether they align with other data sets from CoStar and the
City’s business registry, the square footage, business counts, and subsequent revenue
estimates in this model will be refined from the broad ranges currently presented.
At this time, no determinations have been made regarding exemptions so these are not
yet factored into the model or projections. Any business categories or industries
exempted will reduce the revenue projections.
4. Model 3: Payroll
Our third business license model estimates a business tax based on an organization’s
total payroll. Payroll includes hourly pay, salary, commissions, cash bonuses, and stock
options if cashed in, and anything else that is considered taxable income by the federal
government if received from work-related activities (i.e. the benefit of a take home vehicle
can be taxable).
Data analysis is derived from information gleaned from available non -confidential
Employment Development Department (EDD) data. Information from the EDD is
organized and grouped by NAICS business codes that categorize businesses by industry
type. While the grouping can be drilled down to a more detailed level using three or four
digit codes (i.e. the two digit code 33 for Manufacturing is b roken down into subsets of
334 Computer and Electronic Manufacturing, 336 Transportation Equipment
Manufacturing, etc.), for purposes of this model, the two-digit, higher level NAICS codes
were used.
Original data provided by the EDD included information for Stanford, which included an
average of 13,564 employees and $1.4 billion in total annual wages in the dataset . This
information was removed from the data set to arrive at a total average employee
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headcount and total average employee wages for businesse s within the boundaries of
the City of Palo Alto (excluding Stanford).
Several NAICS classifications are exempt from reporting payroll data or their number of
employees. Data is treated as confidential and when there are fewer than five businesses
in a category or one employer makes up 80 percent or more of the employment in a
category. There are currently seven (7) NAICS code classifications that exist in the City
of Palo Alto without payroll reporting data.
Nonprofit organizations are exempt from paying sales and property tax; however, they
pay payroll taxes (Social Security and Medicare). Using a payroll tax, according to state
law, nonprofit organizations would be exempt in tax revenue calculations. Data from the
EDD does not specifically categorize businesses that are exempt from business license
tax according to state law. Additional research and analysis would need to be performed
to calculate this impact to the revenue estimate generated in this model.
The model based on taxation of payroll includes the following data:
• NAICS code
• Industry
• Annual average employment (# of employees)
• Annual average number of firms by industry code
• Average employees per firm
• Average wage per employee by firm
• Total annual wages by firm
• Average annual wages per employee by firm
• Phased in tax rates with a fully implemented rate in year three (3)
• Total estimated tax revenues by year
• Average taxes paid by firm, by industry, per year
The industries operating within the corporate limits of the City of Palo Alto with the highest
average wages per employee include information, finance and insurance, management
of companies and enterprises, wholesale trade, and limited manufacturing. Each of those
industries has an average wage over $200,000 annually. This is based on total payroll
divided by total number of employees in each industry category. The industries with the
lowest average wages include certain manufacturing; certain retail trade; arts,
entertainment, and food services; and accommodation and food services. Each of those
categories has an average annual wage of under $50,000.
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The table below shows estimated potential business license tax revenue with only NAICS
industry codes 92F (Federal Government) and 92L (Local Government) exempted. It also
includes an annual 3% escalator and utilizes no tiered or phased in rates. This model
assumes no effect from portability of businesses based on a payroll tax at the modeled
rate.
Rate as a % of Payroll Year 1 Estimated
Tax Revenue
Year 2 Estimated
Tax Revenue
Year 3 Estimated
Tax Revenue
0.1% (0.001) $15,569,474 $16,036,558 $16,517,655
The model shows year one revenue estimates at $15,569,474, year two at $16,036,558,
and year three at $16,517,655 including all industry categories. These estimates exclude
Stanford employment data. If additional industries or business occupations are exempted
from coverage, or a lower rate is applied, the revenue realized will decline.
Data for the top five industries with the highest average wages and the bottom four with
the lowest average wages is provided in the table below:
Industry
Annual
Average
Employment
Annual
Average
Firms
Average
Employees
per Firm
Average Total
Annual Wages
per Firm
Average
Wage per
Employee
Year 1
Avg.
Annual
Tax Paid
per Firm
Top 5 Average Wage Industries
Finance and Insurance 2,872 251 11.44 $882,608,241 $307,315 $3,516
Information 12,099 220 55 $3,585,435,135 $296,341 $16,297
Management of Companies and
Enterprises 3,109 29 107.21 $753,701,644 $242,426 $25,990
Wholesale Trade 1,195 87 13.74 $256,674,466 $214,790 $2,950
Manufacturing (NAICS 33) 5,597 75 74.63 $1,158,775,747 $207,035 $15,450
Bottom 4 Average Wage Industries
Arts, Entertainment, and Recreation 914 48 19.04 $30,386,591 $33,246 $633
Accommodation and Food Service 6,023 246 24.48 $210,797,756 $34,999 $857
Retail Trade 3,079 191 16.12 $144,287,420 $46,862 $755
Manufacturing (NAICS 31) 118 8 14.75 $5,630,541 $47,716 $704
As data allows further refinements, impact by industry will be provided to enable
discussion of possible exemption impacts. The following table provides the EDD data
that was utilized for the revenue projections for this model. As previously noted, all
Stanford data was excluded and this dataset represents the remaining businesses within
the City of Palo Alto.
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City of Palo Alto
Employment and Wages by NAICS Code from EDD Data
NAICS Industry
Annual
Average
Firms
Annual Average
Employment
Total Annual
Wages
Average Annual
Wages Per Firm
Year 1
Estimated
Revenue @
0.1%
Year 1
Average
Paid Per
Firm
23 Construction 84 769 $84,331,359 $1,003,945 $84,331 $1,004
31 Manufacturing 8 118 $5,630,541 $703,818 $5,631 $704
32 Manufacturing 16 42 $3,388,623 $211,789 $3,389 $212
33 Manufacturing 75 5,597 $1,158,775,747 $15,450,343 $1,158,776 $15,450
42 Wholesale Trade 87 1,195 $256,674,466 $2,950,281 $256,674 $2,950
44 Retail Trade 191 3,079 $144,287,420 $755,432 $144,287 $755
45 Retail Trade 61 2,024 $180,059,042 $2,951,788 $180,059 $2,952
48 Transportation and Warehousing 11 274 $14,085,831 $1,280,530 $14,086 $1,281
49 Transportation and Warehousing 5 ** ** ** ** **
51 Information 220 12,099 $3,585,435,135 $16,297,432 $3,585,435 $16,297
52 Finance and Insurance 251 2,872 $882,608,241 $3,516,367 $882,608 $3,516
53 Real Estate and Rental and Leasing 195 1,253 $192,724,673 $988,332 $192,725 $988
54 Professional, Scientific, and Technical
Services 942 21,825 $3,990,640,637 $4,236,349 $3,990,641 $4,236
55 Management of Companies and Enterprises 29 3,109 $753,701,644 $25,989,712 $753,702 $25,990
56 Administrative and Support and Waste
Management and Remediation Services 129 1,962 $193,243,558 $1,498,012 $193,244 $1,498
61 Educational Services 94 ** ** ** ** **
62 Health Care and Social Assistance 854 22,932 $2,459,242,605 $2,879,675 $2,459,243 $2,880
71 Arts, Entertainment, and Recreation 48 914 $30,386,591 $633,054 $30,387 $633
72 Accommodation and Food Services 246 6,063 $210,797,756 $856,901 $210,798 $857
81 Other Services (except Public
Administration) 495 2,124 $145,612,803 $294,167 $145,613 $294
99 Not Elsewhere Classified 91 ** ** ** ** **
Federal and Local Government 73 6,391 $637,699,581 $8,735,611 $0 $0
Totals Provided by EDD 4,211 103,921 $16,207,173,501
Totals Excluding Federal and Local Govt. 4,138 97,350 $15,569,473,920
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5 Updated BLT Revenue Projections
After the Finance Committee meeting in August and the Council discussion in September,
additional research was conducted to further refine the revenue projections in alignment
with direction from the Council. The specific direction provided by the Council regarding
the business license tax program parameters are summarized in the following points
excerpted from the Council motion:
“A. Direct Staff to continue work regarding a potential revenue generating
ballot measure with the following parameters:
a. Consider a general business tax measure focused on head count or
square footage as the units of measure;
…
d. Continue further refined analysis on potential exemptions and tiered tax
rate structures with the following guidance: maintaining estimated revenue
generation between 1 and 10 percent of General Fund revenues, focus on
implications regarding retail, restaurants, hospitality, and medical industries,
and keeping potential tax structures simple and modern minimizing
exemptions;
…
h. Direct staff to compile an information sheet detailing San Francisco and
East Palo Alto’s various business taxes;
….”
Additional and updated data was provided by EDD to enable a more refined analysis of
the head count revenue generation ability. No change was made in the data utilized for
the square footage method as no better data source could be acquired that provided
sufficiently detailed data on individual businesses (by industry) that provided the specific
square footage attributable to each business entity.
1. Project Background and Methodology
Matrix Consulting Group was tasked with updating and refining the financial models for
two different business license structures based on the following approaches:
• Number of employees per business.
• Square footage utilized by a business.
Multiple databases from the City, State, and other third -party entities were utilized in
collecting and analyzing data including:
• The City’s current Business Registry.
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• Employment data from the California Economic Development Department.
• Business rosters from the California Secretary of State.
• Business registry from the California Department of Tax and Fee Administration.
• Market data compiled by third-party vendors including InfoGroup, CoStar, and
Avenu Insights & Analytics/MuniServices.
2. Model 1: Employee Count
The first business license model calculates business tax based on the total number of
employees at any given business. Data utilized in this assessment was provided by EDD.
One limitation of this data is that it is provided at an aggregated level by major industry
classification which limits the ability to refine exemptions (ensuring that each individual
industry is appropriately included or excluded) and depending on classification,
exclusions for businesses related to Stanford University are not able to be removed from
the data set. Information utilized was from the 4th Quarter of 2018.
To clean up the data and address the fact that a sizeable portion of the dataset had data
suppressed to prevent disclosure of confidential information, the project team made the
following assumptions regarding the suppressed firms and employee counts:
• For each business category based on employee size, the project team assumed
any firm in that size category would be at the median of the rang e (i.e. – for
business category size 5 – 9 we assumed the firm would have 7 employees.
• Based upon the missing firms and knowing the size of the missing firms, the project
team utilized a “best fit” approach to allocate the firms to size categories in a
manner that accounted for all “missing employees”.
• This approach enables the data to in clude all firms in the data set and eliminate
the majority of the “missing employees” that were due to the suppressed data
enabling the final projections to be more accurate and reflective of the actual
business environment in the City of Palo Alto.
The estimate utilizing the Mountain View rates would generate an estimate annual
business license tax revenue of $2,800,665 annually excluding State and Federally
mandated exemptions, which are health care , non-profit and charitable organizations.
Using the NAICS codes 62 (Total Health Care and Social Assistance) and 813 (Total
Religious, Grantmaking, Civic, professional and similar entities) represent foregone
revenue of approximately $2,329,770. Data available does not provide information on
the specific types of firms within each NAICS code (either the number of firms or number
of employees) at a level of detail that enables analysis beyond the higher -level NAICS
codes. As such, when these codes are excluded, it may remove some firms that would
be subject to the business license tax program and as such would underestimate revenue
potential as those firms are not included in the model. The other industry for potential
exclusion is education services. If this industry were excluded, it would represent
$478,685 annually in foregone revenue.
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The Council identified several industry types where additional analysis and total industry
impact was requested to consider potential local exemptions. These industry types are
accommodation, retail trade and food services – three industries currently impacted by
other local taxes including hotel and sales taxes. The annual foregone revenue
associated with not imposing a business license tax on th ese industries is estimated at
$364,970.
The following table summarizes the overall revenue estimates based upon the modeling
conducted utilizing the existing Mountain View rates applied to the City of Palo Alto’s
business sector:
Industries Included Annual Revenue Potential
Total BLT Revenue if all businesses in the City of Palo Alto
are subject to the business license tax $5,974,090
Adjustment for Federal / State Exemptions ($2,808,455)
Adjustment for Potential Local Exemptions ($364,970)
Estimated Annual Revenue (excluding exemptions) $2,800,665
Many of the tables utilized in this report present data based upon by major NAICS industry
classification. Detail on the specific NAICS codes, and the types of businesses located
within each classification, can be found at https://www.naics.com/search/.
(a) Revenue Projections for Business License Tax Program
The following table summarizes the revenue generation potential based upon these
assumptions and parameters by industry and business size. Included industries, and the
estimated revenue potential associated with firms in these industries, are detailed for
each size category. As shown, there is the potential to achieve $2,800,665 annually from
a business license tax program based on the Mountain View rates. A table showing the
total number of firms within each size category by industry is provided in Appendix A.
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Potential Annual Business License Tax Revenue
By Industry and Firm Size
Excluded industries, and foregone revenue potential associated with firms in these industries, are represented in the
following tables. All of these exemptions are based upon the City-designated potential exemptions (accommodation, food
service, retail trade, and hospitality) with the exception of businesses in industries 6100 (educational), 62 (Health Care and
Social Assistance) and 813 (Religious, Grantmaking, etc.) which rep resent the industries typically exempted under either
federal / state requirements (such as non-profits) or which may include significant Stanford related businesses.
State/Federal Exempted Industries
By Industry and Firm Size
Potential Local Exempted Industries
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By Industry and Firm Size
If the City were to include any of these industries into the business tax program, the projected annual revenue from that
modification is shown in the last column of the table. For example, if all accommodation and food services businesses were
included (NAICS code 7200) in the program this would increase annual revenue by $183,655 annually.
The following table provides more detailed information regarding specific industries where data was available at a more
refined level. These amount are already included in the higher level NAICS code and therefore are included in the
projections. This data is presented only for the purpose of background information to provide relevant data to facilitate
discussion or understand the potential impact on specific industry impacts. For example, NAICS code 722 – Total Food
Services and Drinking Places would represent annual revenue business license tax revenue of $143,365 if included in the
program. This amount is already included in the prior table under NAICS code 7200.