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TIGER Polygons
Although the TIGER data base is not a GIS in the
traditional context of such systems, the way in which the
Census Bureau collects and tabulates data also is by
“polygon.” The geographic structure of the 1990 census,
as documented in the TIGER data base, provides
machine-usable geographic units (polygons) similar to
the ones used by the people collecting and studying soils
or land use/land cover information. More importantly,
in creating its “people polygons,” the Census Bureau
routinely uses as the boundaries for its geographic
entities the same earth surface features most people
appear to want — and that many already include — in
their GIS: streets, roads, streams, railroads, govern
mental unit boundaries, and so forth. Thus, the TIGER
data base is a very valuable source of information that
can form a critical component of a GIS (Marx, 1988).
To extend the notion of people polygons to the context of
putting people in a GIS, I have coined a new term -
censels. Each “censel” (people polygon) has a string of
data associated with it in the Census Bureau’s sum
mary tape files — just as a pixel does in a satellite
transmission (Marx, 1990a; U.S. Bureau of the Census,
1989a). Further, each censel provides a different level of
resolution depending on the nature of the geographic
entity that it documents. (See Figure 1) The following
paragraphs highlight the entities used most frequently
for general purpose data analysis.
• At the coarsest level, the Census Bureau provides
data for one large censel — the United States; censels
comprising the 4 regions and 9 divisions of the United
States, each composed of groups of states; and up to 57
component censels comprising the 50 states and statis
tically equivalent entities in which the Census Bureau
conducts or assists with the several censuses and statis
tically based sample surveys that are the primary
mission of this Federal agency. This level of resolution
is useful primarily for studies on a global scale involving
nations and their first-order subdivisions.
• There are more than 3,200 censels comprising the
first-order divisions of the states; these entities generally
are called counties, but also include a number of statis
tically equivalent areas. They provide fairly coarse
resolution of the Nation’s people and housing unit
characteristics, usually for relatively small portions of
the earth’s surface.
• There are more than 60,000 censels comprising the
units of local government and statistically equivalent
entities subdividing those 3,200-plus counties - town
ships, cities, villages, census designated places, and so
forth. They provide nearly a twentyfold increase in the
number of polygons available for use in a GIS, but gener
ally still offer fairly coarse resolution. On the plus side,
demographic data are available for all these govern
mental entities and economic data are available for'
about 20 percent of the most populous entities. •
• There are more than 60,000 censels called census
tracts and block numbering areas (BNAs) that subdivide
the United States on a fairly uniform population basis for
the 1990 census -- a significant increase over the number
of these entities delineated for the 1980 census because
now these entities cover the entire United States and its
possessions. Whole census tracts and BNAs contain, on
the average, about 4,000 people, with a range from about
2,500 to more than 8,000. In the more populous govern
mental entities, the census tracts and BNAs provide a
finer-grained resolution of the reported statistical data,
letting data analysts see variations in characteristics
that might occur in different parts of the entity. In the
less populous governmental entities, and in cases where
entity boundaries do not follow easily recognized map
features, the census tracts and BNAs tend to include all
or parts of several governmental entities; in these cases,
the Census Bureau provides separately tabulated data
for each governmental entity/census tract-BNA portion,
creating even more (141,100 E ) censels for data analysis.
• The census tracts and BNAs are further subdivided
for purposes of data tabulation into nearly 229,000
censels called block groups. (For the 1980 census, some
of these tabulation entities were called enumeration
districts, or EDs; in combination, the 1980 census EDs
and block groups covered the entire United States.) The
block groups further segment the governmental entities
for purposes of data presentation, providing a relatively
uniformly populated “grid” across the United States in
which the censels (353,000 E ) average just over 700 people.
At this level, a GIS user has access to the full range of
decennial census data tabulations - those data items
collected about all people and housing units in the
United States and those data items collected about only a
sample of these people and housing units.
• Finally, for the 1990 census, the Census Bureau
assigned block numbers nationwide to the map feature-
bounded polygons nesting within the block groups. The
result is slightly more than 7 million censels called
census blocks - people polygons - for which the Census
Bureau will tabulate data following the 1990 census. As
with the census tracts and BNAs, this represents a huge
increase in the number of fine-grained entities over the
1980 census when block-level data were available pri
marily for the urban cores of metropolitan areas.
Although census blocks vary widely in area and
population, these “millions and millions” of blocks
provide a very fine-grained censel resolution to the
demographic data sets available from the 1990 census for
the items asked about all people and housing units.
The TIGER data base links the codes identifying the
Census Bureau’s geographic entities (censels) directly
with the underlying network of road, railroad, and
hydrographic features, as well as the governmental unit
and other tabulation entity boundaries. In a GIS envi
ronment, a data analyst using the TIGER data base can
examine the data sets that flow from the decennial,
economic, and agriculture censuses of the United States
along with many other locally available, geographically
distributed data sets -- soil categories, hazardous waste
sites, water quality, land use/land cover, and so forth.
At the same time, the data analyst can examine these
data sets in the context of the governments responsible
for managing an area, in the context of the char
acteristics of the people who occupy the land, in the
context of those people’s homes and farms (U.S. Bureau
of the Census, 1990a), and in the context of the
businesses and industrial activities that support the
economy (Carbaugh and Marx, 1990).
AVAILABILITY
The Census Bureau completed release of the first public
product from the TIGER data base - a series of extracts
called the Prototype TIGER/Line files - in April 1989.
These files gave anxious data users an opportunity to
examine the content of this new product and provide the
Census Bureau with suggestions for improving it. The
process worked well, and the Census Bureau completed
release of a revised and updated version — the Precensus
TIGER/Line files - in February 1990; they contain more
than 19 gigabytes of geographic information that can be
used in a GIS. (See Figure 2)
Current Files
The Precensus TIGER/Line files (U.S. Bureau of the
Census, 1989d) generally correspond with the 1990
Precensus Maps that the Census Bureau sent to all