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The 2017-18 Budget: Evaluating the State-County Assessors' Partnership Agreement Program
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The 2017-18 Budget:
Evaluating the
State-County Assessors’
Partnership Agreement Program
MAC TAYLOR • L E G I S L A T I V E A N A L Y S T • MARCH 2017
Summary
The property tax is a major source of revenue for local governments, raising more than
$55 billion annually for counties, cities, special districts, and schools and community colleges
(“schools”). Counties administer the property tax. While most local governments that receive
property taxes reimburse the county for their share of administrative costs, schools are not required
to pay these costs. Instead, counties pay the schools’ share of costs as well as their own. Statewide,
counties pay about two-thirds of the cost to administer the tax while receiving less than one-third of
the revenues they collect. As a result of this imbalance, there have been long-standing concerns that
counties might not fund property tax administration at an appropriate level. The state budget could
be affected if property tax administration is inadequately funded because local property taxes that
go to schools generally offset required state spending on education.
In recognition of concerns about the adequacy of funding for county assessors, the 2014-15
Budget Act established a three-year pilot program, known as the State-County Assessors’
Partnership Agreement Program (SCAPAP). Under this program, the state allocated grants to eight
county assessors’ offices to improve local administration of the property tax. A primary goal of
SCAPAP was to measure whether and to what extent property tax revenues would increase if county
assessor funding were increased.
In this report, we look at data from the first two years of SCAPAP and attempt to gauge the
program’s effect on property tax revenues. Our analysis suggests the effect of SCAPAP on property
taxes has been modest. There is even a good chance the state’s fiscal benefit from SCAPAP did not
exceed state costs for the program.
Potential to realize additional property tax revenue, however, is not the only factor the
Legislature should consider in deciding whether changes to county assessor funding are warranted.
The current funding structure for county property tax administration, for example, raises important
questions about intercounty disparities. Should the Legislature wish to address this issue, the most
straightforward approach would be to allow counties to charge schools for their share of property
tax administration costs.
2017-18 BUDGET
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2017-18 BUDGET
BACKGROUND
Property Tax Allocation counties receive above-average shares. Los Angeles
and San Francisco Counties, in contrast, get a
Property Tax a Key Local Government Revenue
larger share of the countywide property tax and
Source. The property tax is California’s second largest
their schools receive smaller shares.
source of revenue, raising more than $55 billion
Property Taxes Also Affect State Budget.
annually for local governments—including cities,
Though considered a local tax, the property tax
counties, special districts, and schools. Figure 1 shows
has a major impact on the state’s budget. Under
how property tax revenues were distributed statewide
the state’s education finance system, the amount
to these governments in 2014-15. In future years, the
of school funding each year is set according to
share of the property tax allocated to schools will
Proposition 98 and paid for with a combination
increase to more than 50 percent due to the end of a
of local property tax revenue and state General
temporary adjustment known as the “triple flip” and
Fund revenue. Increases in property tax revenues
the dissolution of redevelopment.
generally allow for decreases in state General Fund
Local Governments’ Shares of Property Tax
spending on education. The state therefore benefits
Revenues Vary. The distribution of property taxes
from additional local property taxes. In 2015-16,
shown in Figure 1 reflects statewide averages.
local property taxes offset about $19.5 billion in
The share of property taxes allocated to specific
required state spending on education. (In certain
counties, schools, and other local governments,
instances, under Proposition 98’s so-called “Test 1”
however, varies across the state. Among other
calculation, school property tax revenue increases
factors, this variation reflects taxation decisions of
the overall level of school funding and does not
the mid-1970s. In some counties, the distribution
offset the required state contribution.)
of property tax revenues differs considerably from
the distribution shown in Figure 1. For example,
Property Tax Administration
Orange, San Mateo, and Santa Clara Counties get a
smaller share of the countywide property tax than Counties Administer the Property Tax. County
the share shown in Figure 1 and schools in these assessors determine the taxable value of property,
county tax collectors bill property owners, and
county auditors distribute the revenue among
Figure 1
local governments. Statewide, county spending for
Allocation of Property Taxes
assessors’ offices totals around $550 million each
Among Local Governments
year. County costs for property tax collectors and
2014-15
auditors are unknown but much smaller.
Other Paying for Property Tax Administration. For
most of the state’s history, counties paid all property
tax administration costs using county resources.
After passage of Proposition 13 in 1978 and some
Schools
changes to state-county program responsibilities,
Counties
however, counties argued that they did not have
sufficient revenues to continue paying all these costs.
In 1990, the state authorized counties to split these
costs among all governments receiving property tax
Cities
revenues, including schools (Chapter 466 of 1990
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2017-18 BUDGET
[SB 2557, Maddy]). One year later, in response to would also affect the state because most property
concerns from schools—and related litigation—the tax revenue allocated to schools offsets required
state prohibited counties from charging schools, in state spending on education.
effect requiring counties to cover the schools’ share Inadequate Funding Also Raises Other
of these costs (Chapter 75 of 1991 [SB 188, Maddy], Concerns. The state also has a policy interest in
and Chapter 333 of 1991 [SB 282, L. Greene]). funding to county assessors being sufficient to
Cost Allocation System Raises Concerns. ensure a fairly administered property tax system,
Making counties responsible for covering the with accurate determinations of value, complete
schools’ share of property tax administrative property tax rolls, accessible records, and full
costs has prompted concerns that counties might compliance with the laws governing property
not fund these activities appropriately. This is tax administration. Such a system likely would
because counties pay a large share of property tax function more efficiently, be viewed more favorably
administrative costs (often more than two-thirds) by taxpayers, and would help ensure that property
yet receive a small share of property tax revenues owners in different counties are treated similarly.
(often less than one-third). County assessors have a
State-County Assessors’
statutory obligation to administer the property tax
fairly and effectively. As part of county government, Partnership Agreement Program
however, funding for county assessors’ offices
In recognition of concerns about the adequacy
depends on annual budget decisions by county
of funding for county assessors, the 2014-15 Budget
boards of supervisors. Given the many competing
Act established a three-year pilot program known as
uses for county resources, it is reasonable to assume
the State-County Assessors’ Partnership Agreement
that supervisors are more likely to approve assessor
Program (SCAPAP). Under this program, the state
office spending proposals that generate enough
allocated grants to eight county assessors’ offices
county benefits to offset the county’s costs.
to improve local administration of the property
Counties’ Shares of Costs Vary. As discussed
tax. The eight participating counties and their
above, the share of property taxes received by schools
respective grant amounts are shown in Figure 2.
varies considerably from county to county. This
Each participating county was required to match the
means that the share of property tax administration
state grant dollar for dollar. Funds were to be used
costs covered by counties also varies significantly,
to identify newly constructed or sold properties,
with some counties paying a comparatively high
share of costs. In these counties, the potential that
Figure 2
county assessors are underfunded is heightened.
Funding Allocations to
Beyond concerns over funding, this situation also
Participating County Assessors
raises a question of fairness: should some counties
(In Thousands)
be required to pay a higher share of property tax
County 2014-15 2015-16 2016-17
administration costs than others, leaving those
counties with less funding for other public services? Fresno $825 $619 $619
Madera 150 150 150
There does not appear to be a compelling rationale
Monterey 200 200 200
for this differential treatment.
Riverside 1,875 1,875 1,875
Inadequate Funding Could Mean Less San Benito 150 150 150
Property Tax Revenue. If tax property tax San Francisco 300 460 525
Santa Clara 785 785 785
administration is not funded adequately, counties
Tuolumne 104 104 104
could collect less property taxes for all local
Totals $4,389 $4,343 $4,408
governments than they otherwise would. This
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revalue properties to their current market value, and property taxes, a portion of which would be directed
respond to property value appeals. These activities to schools, offsetting state education spending.
were anticipated to generate additional local
EVALUATING SCAPAP
Although the final year of SCAPAP is still employees hired by each participating county. As
ongoing, the legislation establishing SCAPAP Figure 3 shows, in some counties the additional
requires the Department of Finance to report to the staff were a modest increase from previous levels
Legislature in May 2017 on the program’s outcomes. (around 3 percent in Santa Clara County), while
To further assist the Legislature in evaluating representing a more substantial increase in
SCAPAP, our office has analyzed data from 2014-15 other counties (roughly 25 percent in San Benito
and 2015-16 to gauge whether the program has County). Assessors also used SCAPAP funds to
measurably increased property tax revenues. Our pay for services from contract workers and retired
analysis suggests the effect of SCAPAP on property annuitants.
taxes has been modest. We estimate that increased
Did SCAPAP Increase Property Tax Revenues?
property tax revenue to schools from SCAPAP were
at best slightly above the state cost of the program. Our Approach to Analyzing SCAPAP’s
There is, however, a good chance that revenue gains Effect on Property Tax Revenues. Determining
fell short of state costs. the effect of SCAPAP on property tax revenues
Below, we provide a brief description of how is difficult because it is not possible to know how
the county assessors spent their SCAPAP grant much revenue would have been collected in the
funds and then discuss the results of our analysis of absence of the program. As we discuss in detail in
the effect of SCAPAP on property tax revenues. A the box on page 6, this can make straightforward
more detailed description of our methodology can approaches—such as calculating the increase
be found in the technical appendix. in taxable property values arising from work
completed by newly hired staff—problematic. In
How Did Assessors Spend the Grant Funds?
SCAPAP Funds
Figure 3
Primarily Used for
SCAPAP Funds Primarily Spent on Additional Staff
Additional Staff.
Additional Staff Paid for by SCAPAP
County assessors used
SCAPAP funds (both Increase Over 2013-14
state grants and county County 2014-15 2015-16 2014-15 2015-16
matching funds) to hire Fresno 17.0 15.0 20% 17%
additional employees, Madera 1.5 2.5 6 10
Monterey 4.5 4.0 9 8
including property
Riverside 5.0 19.0 3 10
appraisers, information
San Benito 3.0 2.5 30 25
services staff, clerical San Francisco 8.0 9.0 6 7
staff, and administrative Santa Clara 7.0 8.0 3 3
Tuolumne 2.0 2.0 18 18
staff. Figure 3 details
SCAPAP = State-County Assessors’ Partnership Agreement Program.
the number of new
Note: Part-time staff displayed as 0.5 full-time staff.
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Why Not Focus on Workload Completed by New Staff?
County assessors primarily used the State-County Assessors’ Partnership Agreement Program
(SCAPAP) funds to hire additional staff to perform various activities—such as identifying and
valuing newly constructed buildings and revaluing properties to their current market values—that
generally result in an increase in taxable property values and therefore higher property tax revenues.
Participating county assessors were required to report how many of these types of activities were
performed by staff paid for with SCAPAP funds and how much these activities added to their
county’s property tax base. One potential approach to estimating the effect of SCAPAP on property
tax revenues could be to total these reported increases in taxable property values.
This approach, however, is problematic because it fails to account for what might have occurred
otherwise. Had assessors not received SCAPAP funds, two possible scenarios could have occurred:
(1) the workload performed by SCAPAP funded staff would not have occurred and taxable property
values would not have increased or (2) the workload performed by SCAPAP funded staff would have
been absorbed by existing staff and taxable property values would have increased anyway. Simply
totaling the taxable property value increases attributable to work performed by SCAPAP staff
ignores the possibility of scenario 2.
We cannot be sure whether scenario 1 or scenario 2 (or some combination of the two) would
have occurred. We do, however, see some evidence that suggests at least some of the workload
performed by SCAPAP staff could have been absorbed by existing staff. Based on data reported
by county assessors to the State Board of Equalization, assessor staff productivity appears to have
declined somewhat during the first year of SCAPAP (2014-15) relative to the year before. The figure
shows that the number of new construction assessments completed per assessor staff declined from
34 to 30 in SCAPAP counties, while increasing from 37 to 39 in counties that did not participate.
We see a similar pattern in the number of
revaluations of properties that previously
Productivity Appears to Have
received a reduction in their taxable value
Declined in First Year of SCAPAP
in light of declining real estate values
Assessments of New Construction
during the Great Recession. The number
Completed Per Assessor Staff Member
of these reevaluations completed per staff
40
member declined by 100 (from 215 to 115)
35
in SCAPAP counties, while declining
30
by only about 70 (from 210 to 140) in
25
nonparticipating counties. There are other
20 2013-14
possible explanations for these trends—for
15 2014-15
example, some staff effort in SCAPAP 10
counties may have been diverted to training 5
newly hired staff—but we cannot rule out
SCAPAP Counties Rest of State
that a shift in workload from existing staff
SCAPAP = State-County Assessors’ Partnership Agreement Program.
to newly hired staff occurred.
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light of these challenges, we developed a statistical $15 million annually, with $4 million to $6 million
model to estimate what would have happened to of this increase going to schools. At an annual cost
taxable property values (and resulting property of about $4.5 million, this means the state, at best,
tax revenues) in the absence of SCAPAP. To came out slightly ahead. There is, however, a good
estimate what would have occurred in SCAPAP chance that revenue gains were lower. In fact, our
counties, our model draws on information about range contains zero—meaning that we cannot rule
(1) growth in taxable property values in SCAPAP out that the program had no effect on revenues. In
counties in years leading up to the program; these cases, the benefits to the state—in terms of
(2) home prices, home sales, and residential and reduced school funding obligations—are less than
commercial building permits in SCAPAP counties; the annual state cost.
and (3) taxable property value growth in counties Caveats. Our analysis is limited by several
that did not participate in SCAPAP. To estimate factors. As with any statistical analysis in public
the effect of SCAPAP, we compare actual growth finance, our results are subject to some level of
in taxable property values in SCAPAP counties to estimation and measurement error. We also only
our estimates of what would have occurred without had data on taxable property values for the first two
SCAPAP. years of SCAPAP. It is possible that the third year
Modest Effect on Property Tax Revenue. of the pilot may result in larger increases in taxable
Based on the results of our statistical model, we property values. SCAPAP also may have facilitated
have developed a range of values that the effect of procedural or technological improvements within
SCAPAP is likely to fall in. At the high end of our assessors’ office which may have longer-term effects
range, our estimates suggest SCAPAP may have on growth in property values. These effects would
increased property taxes to all local governments in not be captured by our analysis.
participating counties by as much as $10 million to
POLICY IMPLICATIONS
Modest Expectations About Property Tax for the program. While the results of a temporary
Gains Seem Warranted. The Legislature has had pilot program may not perfectly foretell what
long-standing concerns about the adequacy of might occur with broader, permanent reforms,
funding for county assessors. Over the years, a these results nonetheless suggest that modest
wide variety of approaches to address this issue expectations about potential property tax gains are
have been proposed. Three years ago, our office warranted.
suggested that SCAPAP would provide important We note, however, that these conclusions
information to inform such efforts. are based on an analysis of only the first two
Our assessment of SCAPAP offers a key years of the program. Should future analyses of
takeaway: this pilot tempers our expectations the program’s third year or years immediately
about the potential property tax gains that could following the program find different results, it may
come from additional funding to county assessors. be appropriate to reconsider our findings.
Our analysis of SCAPAP suggests that its effect Uneven Treatment of Counties Remains a
on property tax revenues has been modest. There Concern. Potential to realize additional property
appears to be a good chance the state benefit from tax revenue, however, is not the only factor the
SCAPAP—via decreased need for General Fund Legislature should consider in deciding whether
spending for schools—did not exceed the state costs changes to county assessor funding are warranted.
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The current funding structure for county property Options. Should the Legislature wish to
tax administration, including county assessors, eliminate these disparities across counties, the
raises important questions about intercounty most straightforward approach would be to
disparities. Because the school share of property allow counties to charge schools for their share of
taxes varies across counties, requiring counties property tax administration costs—likely totaling
to cover the schools’ share of property tax between $220 million and $280 million statewide.
administration costs places a greater burden on The Legislature has a variety of options for
some counties than others. Those counties, in turn, implementing such a change. These options range
have less funding available for other public services. from the state paying for schools’ share of costs on
There appears to be little justification for these their behalf to requiring schools to pay for their
disparities. share of costs out of their general purpose funds.
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TECHNICAL APPENDIX
Goal. Our goal was to estimate the effect of the Data. We attempt to explain annual growth in
State-County Assessors’ Partnership Agreement taxable property values for property tax roll years
Program (SCAPAP) on taxable property values 2013-2014 through 2016-17. This period includes
in participating counties while accounting for two years before and after the establishment of
growth in taxable property values that would have SCAPAP. (The property tax roll for a given year
occurred in the absence of SCAPAP. is largely determined by county assessor work
Approach. We developed an econometric done in the preceding year.) Data on taxable
model to estimate the effect of SCAPAP property values by city comes from the Board of
participation on growth in taxable property values Equalization. Our data on home prices and home
of cities in participating counties. Our model sales comes from the real estate site Zillow. For
attempts to explain annual changes in taxable residential and commercial permits, we used data
property values based on changes in residential from the Construction Industry Research Board.
and commercial building permits, home prices, Results. The results of our regression are shown
and home sales. It also includes an indicator of in Figure A-1. The broader economic variables
whether or not each city was in a SCAPAP county. all have the expected relationship with taxable
Finally, we include indicators of the year and property values: higher home prices and sales and
county to account for any idiosyncrasies specific to more residential and commercial construction
a particular year or county. This method essentially contribute to higher taxable property values.
holds constant broader economic factors that affect The point estimate of the effect of SCAPAP on
taxable property values and isolates the effect of taxable property values is slightly negative. This
SCAPAP from these other factors. estimate, however, is subject to some uncertainty.
We estimate our model using ordinary least Recognizing this uncertainty, we estimated a range
squares with cluster-robust standard errors, of values in which the effect of SCAPAP is likely to
accounting for clustering of our city level fall (a 95 percent confidence interval). This range
observations at the county level due to SCAPAP includes zero as well as some positive values.
applying to all cities in participating counties.
We use city, as opposed
to county, observations Figure A-1: Regression Results
because this provides us Dependent Variable: Annual Change in Taxable Property Valuesa
additional data points,
Standard
allowing us to capture Explanatory Variablesc Coefficient Error
additional nuance in the
In a SCAPAP county -0.004 0.002
relationship between Median home pricea,b 0.009 0.002
property value growth Annual change in home pricea,b 0.148 0.032
Change in home price over past three yearsa,b 0.041 0.019
and the explanatory
Residential permit value as a percent of prior year property tax rollb 0.944 0.196
factors. We also attempted Commercial permit value as a percent of prior year property tax rollb 0.320 0.184
to estimate our model Existing home salesb 0.325 0.074
with county-level data, Constant -0.119 0.029
a
but could not estimate the Variable in logs.
b
Variable lagged one year.
effect of SCAPAP with c County and year effects also included but not reported here.
meaningful precision.
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LAO Publications
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