Memorandum
City
of
Planning
Department
TO: |
Dave Corliss, Interim City Manager |
FROM: |
Planning Staff |
CC: |
|
Date: |
8/7/06 |
RE: |
Population Projections and Estimates |
I. Introduction
Staff prepared a memo on July 14, 2006 that discussed best practice methods
for population projecting and estimating by local governments. The results of research by Staff showed the
methods used by the Planning Department are methods that are used all around
the country. The July 14, 2006 memo also
talked about Staff’s early efforts at testing Census population estimates for
II. Census Estimates
A. Method:
The
Census Bureau releases estimates of population annually every July 1st.
The estimates are used for the allocation of many resources, including
community development block grants and federal and state transportation fund
money. In addition, the estimates are used in the calculation of key figures
for the city, and county, such as unemployment rates, inflation numbers, and
other economic indicators. These estimates are developed in cooperation with the Federal-State Cooperative Program for
Local Population Estimates (FSCPE). In the state of
According to Census publications, a formula combining the census
and administrative records information are used to produce current population
estimates consistent with the last decennial census counts for the county as a
whole. This method is referred to as a component
of change population method. The Federal agencies provide tax records,
Medicare records and some vital statistics information. The FSCPE agencies
supply state school enrollments, vital statistics, and information about group
quarters like college dorms or prisons.
Sub-county population estimates are then produced using a Distributive Housing Unit Method that
uses housing unit change to distribute county population to sub-county
areas. The Census Bureau develops a household population estimate by
applying the occupancy rate and average persons per household (PPH) from the
latest census at the sub-county level to an estimate of housing units.
The non-household population is measured by the change in the group quarters
population. The final estimate is then produced by adding the population
in group quarters to the household population.
With each new issue of July 1 estimates, the population estimates
program revises estimates for years back to the last census. Previously
released estimates are superseded. Revisions to estimates are usually due to
revised or updated administrative input data, changes in methodology, or legal
boundary changes, especially for sub-county units of government, such as incorporated
places.
B. Estimates:
Population estimates released by the Census Bureau in July of 2006 put
the City of
C. City Estimates:
The City of
Building Permit Method:
Our local population projection is derived from
the housing unit method. It involves totaling the number of new
residential dwelling units constructed each year since the 2000 Census;
subtracting the number of dwellings that were demolished during the same time
period to derive the total number of new dwelling units built since the 2000
Census period; then, multiplying the number of new dwelling units by the 2000
Census vacancy rate for the city to establish the number of new occupied
dwelling units. Then the total number of occupied dwelling units is
multiplied by the average number of persons per household, based upon the 2000
Census, to derive a figure for the new population residing in the new dwelling
units. Finally, this new population increase is added to the 2000 Census
population to establish a new estimate for the City's population. Our
estimating period runs with the calendar year so each year’s estimate reflects
the building permit activity for the full 12-month period.
Using this method, there are an estimated 89,643
people living in the City of
Staff has also studied the different effects that
a decreased average household size, and an increase in
vacancy would have on the above population estimates. The above figures
represent a vacancy rate of 4.2% (or an occupancy rate of 95.8%), and an
average household size of 2.3 people, both of which came from the 2000 Census. The
below table illustrates the effects of adjusting the vacancy rate and average
household size since the 2000 Census, on the population estimates of January 1st,
2006.
If the vacancy rate was raised to 15% and the
average household size decreased to 2.1 people, building permit data still
shows a 2006 population estimate of 88,169 people.
Utility Record Method:
The City of
Based on an average household size of 2.3 people for residential
customers, as well as 15.2 people for multi-family customer, the population has
increased 8,824 people since 2000, according to water utility records (Table 4).
The average household size figure of 2.3 people is from the Census 2000, while
the 15.2 people for the multi-family category is derived as a proportion of
water usage compared to number of accounts.
If the population increased 8,824 people from 2000 to 2005, then that
would put the January 1st, 2006 population for the city at 88,922
people according to water utility records (Table 5). That represents a less
than 1% change over estimates produced using the building permit method.
It is also important to note, that if the Census Bureau estimates for
2005 were correct, then the residential water accounts added would amount to an
average household size of .47 people.
III. Other Communities:
Eight (8) communities have already successfully challenged 2005 Census
population estimates since they were released in late June of 2006. Thirty-eight (38) cities and counties
successfully challenged 2004 Census population estimates, including
In the
IV. Recommendation:
Staff recommends that the City challenge the