Census tracts are subdivisions of counties that generally have stable boundaries
that normally follow visible features. Census tracts are delineated by a local committee
of census data users for presenting data. Census tracts are designed to be units
with similar population characteristics, economic status, and living conditions,
and average about 4,000 inhabitants Urban communities can be comprised of several
census tracts, whereas a single rural census tract can contain several small communities.
U.S. Census Bureau (2005). Census tracts and block numbering areas. Geographic Areas
Reference Manual (10-2 – 10-3). [Retrieved] 1/10/2011 [from] http://www.census.gov/geo/www/garm.html
Census-designated places are locally recognized communities with population clusters
which lack separate municipal government, but otherwise physically resemble incorporated
places. CDPs are created to provide data for settled concentrations of population
that are identifiable by name by residents but are not legal entities. However,
in the Oregon Communities Reporter Tool, CDPs are treated the same as Census-designated
municipalities for the purposes of comparison of communities.
Census Designated Place (CDP) Program for the 2010 Census – Final Criteria, Federal
Register 73:30 (February 13, 2008) pgs. 8269 – 8273, [Retrieved] 1/10/2011 [from]
http://www.census.gov/geo/www/psap2010/cdp_criteria.html
Prior to the 2010 database update of the Oregon Communities Reporter, the years
selected for inclusion in the database corresponded to the decennial census years
1990 and 2000. Additional non-census data were included in 2005, but the census
was not performed in this year. In December 2010, the U.S. Census Bureau released
the first annual installment of 5-year spanned averages from the American Community
Survey (ACS). The ACS has replaced the decennial census for the collection of most
demographic, social, housing, and household economic data nationwide. From 2010
onward, the Oregon Communities Reporter will be updated annually with the releases
of the ACS and other non-Census Bureau data.
Since the ACS data refer to a 5-year average, it is impossible to select a specific
year within those displayed for data from the U.S. Census Bureau. For example, starting
in 2010, users will still be able look up Median Household Income, but will have
to select the spanned average from 2005 – 2009 instead of a specific year in that
range. On the other hand, data from sources other than the U.S. Census Bureau will
continue to be selectable by specific years.
The American Community Survey (ACS) is an ongoing nationwide statistical survey
conducted by the U.S. Census Bureau. The ACS provides communities with reliable
and timely demographic, social, economic, and housing data every year. This represents
a remarkable shift in the way the U.S. Census Bureau disseminates and collects data
from a large sample of the U.S. population. Historically, the U.S. Census Bureau
has collected detailed questions about socioeconomic and housing characteristics
of the American people through the “long form” of the 10-year or decennial census.
Starting in 2010, this information will come only from the ACS.
U.S. Census Bureau, A Compass for Understanding and Using American Community Survey
Data: What General Users Need to Know, U.S. Government Printing Office, Washington
D.C., 2008.
Prior to 2010, the U.S. Census Bureau collected socioeconomic and detailed housing
data once every ten years using a sample of about 18 million households that completed
the “long-form” of the census. In contrast, with the American Community Survey (ACS),
the Census Bureau samples nearly 3 million addresses each year (approximately 250,000
surveys per month). Since the annual ACS sample is smaller than that used for the
past decennial censuses, the Bureau needs to combine ACS data spanning up to 5 years
to produce reliable numbers for small counties, neighborhoods, and other local areas.
While decennial census data will continue to be available once every ten years,
starting in 2010 the decennial census will only provide basic population information.
For this reason, the U.S. Census Bureau will now release 5-year detailed socioeconomic
and housing estimates from the ACS for all geographical units in the nation on an
annual basis.
U.S. Census Bureau, A Compass for Understanding and Using American Community Survey
Data: What General Users Need to Know, U.S. Government Printing Office, Washington
D.C., 2008.
Because ACS estimates provide information about the characteristics of the community
over an entire time frame, multiyear estimates contrast with “point-in-time” estimates
we may be used to, such as those from the decennial census. The ACS data collection
is spread evenly across the entire reference period so as not to over-represent
any particular month or year within the period. Therefore, we cannot interpret these
multiyear estimates by any single year, but must attribute these values to the full
span of years from which they were collected (e.g. Median Household Income for 2005
– 2009).
When users report data from the ACS, they should clarify that the data represent
a multiyear time-span and have a margin of error. For example, the estimated percentage
of Oregonians with a high school education or greater (from the 2005–2009 ACS) was
88.3 percent, with a margin of error of 0.2 percent. The best way to report this
estimate would be to state, “On average, between 2005 and 2009, approximately 88.3
percent of adult Oregonians (age 25+) had a high school or greater education level,
plus or minus 0.2 percent.”
U.S. Census Bureau, A Compass for Understanding and Using American Community Survey
Data: What Rural Users Need to Know, U.S. Government Printing Office, Washington
D.C., 2009.
Yes, the U.S. Census Bureau has created several guides for understanding and using
data from the ACS. You can find them at: http://www.census.gov/acs/www/guidance_for_data_users/handbooks/
Caution is needed when using ACS multiyear estimates for estimating year-to-year
change in a particular characteristic. This is because four years of the data in
a 5-year estimate overlap with the data in the next year’s 5-year estimate. Thus,
as shown in the figure below, when comparing 2005–2009 estimates with 2006–2010
estimates, the differences in the multiyear estimates are driven by differences
in the non-overlapping years (in this case, the difference between 2005 and 2010).
A data user interested in comparing overlapping multiyear estimates will not be
able to isolate the differences due to any particular year using these two successive
5-year estimates. While the interpretation of difference between overlapping multiyear
estimates is difficult, these comparisons can be made with caution. Users who are
interested in comparing overlapping multiyear estimates should refer to Appendix 4 in the U.S. Census Bureau guide for Understanding and
Using American Community Survey Data (Rural Users) for more information.
U.S. Census Bureau, A Compass for Understanding and Using American Community Survey
Data: What Rural Users Need to Know, U.S. Government Printing Office, Washington
D.C., 2009
Because ACS estimates provide information about the characteristics of the community
over an entire time frame, the specific single year value for a community characteristic
cannot be determined from 5-year estimates.
Margin of error is a measure of the accuracy of a sample at a given confidence level.
The American Community Survey is administered to a random sample of the nation's
population every month. The monthly values are combined and annual estimates are
calculated. The margin of error describes how close the estimate likely is to the
true population value for all Americans.
For example, the 2009 ACS Data Profile for Oregon shows that on average 731,554
married-couple families resided in the state between 2005 and 2009. The 90 percent
margin of error for this statistic was calculated to be give or take 5,327 families
(or about seven tenths of a percent). That is, we can be 90 percent sure that the
true number of married-couple families that resided in Oregon on average between
2005 and 2009 lies somewhere within this calculated interval. The U.S. Census Bureau
uses the 90 percent confidence level as its standard. If we wanted to be more certain,
say 95 percent, then the margin of error would be larger and the upper and lower
bounds around the estimate would be larger.
U.S. Census Bureau, A Compass for Understanding and Using American Community Survey
Data: What General Users Need to Know, U.S. Government Printing Office, Washington
D.C., 2008
Stokes, Lynne: Tom Belin (2004). What is Margin of Error. What is a Survey? (63-67).
Survey Research Methods Section, American Statistical Association. [Retrieved] 1/6/2011
[from] http://www.amstat.org/sections/srms/pamphlet.pdf
Often users want to compare the characteristics of one area to those of another
area. Whenever you want to make a comparison between two different geographic areas
you need to take the type of estimate into account. It is important that comparisons
be made within the same estimate type. That is, 1-year estimates should only be
compared with other 1-year estimates, 3-year estimates should only be compared with
other 3-year estimates, and 5-year estimates should only be compared with other
5-year estimates. Because 5-year estimates cover all communities in the state, the
Oregon Communities Reporter Tool only lists these estimates, making it possible
to compare all communities in the 2009 database year (2005 – 2009 ACS estimates).
However, since the data for 2000 and 1990 were collected by the decennial census,
these values were derived using different method and they are not directly comparable
to data collected by the ACS.
U.S. Census Bureau, A Compass for Understanding and Using American Community Survey
Data: What Rural Users Need to Know, U.S. Government Printing Office, Washington
D.C., 2009
To prevent “double-counting” geographic sub-units, the Oregon Communities Reporter
Tool does not allow users to combine dissimilar units. This is because when a user
selects a county, all of the smaller geographic units within the county are automatically
included in the calculation of community characteristics, including municipalities
(census designated places) and census tracts. If a user were able to combine a municipality
with a county, for example, the municipality that has already been included in the
county data could be added again, causing the report of inaccurate data.
The likely reason is that the data simply is not collected and stored at the municipal
(city) level. Another possibility is that the data are available for a few cities
instead of all of Oregon. Where possible, we have avoided “patchy” data sources,
instead choosing comprehensive data sets for the whole state.
Information found in the “Other Data” section are displayed in single years, while
Census data from the American Community Survey are displayed in the span of years
from which they were collected. Selecting data from a single year is fundamentally
different from choosing a multiyear span and these sections of the report have been
separated for ease of use.
Under each community characteristic in the Oregon Communities Reporter is a “Details”
link that will open a window that contains the source of the data and the formula
used to derive the characteristic.
Click on the graph icon on the right side of the community report for the characteristic
you are interested in. A graph, table, and the source of the data for all years
in the Oregon Communities Reporter database will pop-up. You are authorized to use
and reproduce the displayed output.
If the community you are looking at either went from about 4,000 people to a much
smaller number, or declined to about 4,000 then it is likely that this community
went through a change in geography.
Sometimes unincorporated towns that were allocated to census tracts one year get
recognized by the Census Bureau in a later year and become Census Designated Places.
In those instances, the town’s population will appear to go from about 4,000 people
(the population of the census tract) to a population size that corresponds to the
much smaller boundaries of the Census Designated Place. The opposite can also occur.
Sometimes towns that are recognized as Census Designated Places (CDP) one year are
not recognized as such the following year. In those cases, the population of this
town will shift from the population residing within the boundaries of the CDP to
the population residing with the census tract that contains the town (which is typically
about 4,000 people).
Vincent Adams
Coordinator, Rural Communities Explorer
Office 216 Ballard Extension
Extension Family & Community Health
Oregon State University
Corvallis, Oregon 97331-5106
Phone 541-737-1412
vince.adams@oregonstate.edu