Skip to Main Content

GIS Data Sources: TIGER 2000 Filename Conventions

Census Data from Geography Network

This information regarding the file naming conventions, used in the TIGER 2000 Census data into Shapefile format that can be downloaded for free from ESRI's census data site, is presented here as-is for easy reference.  The information should also be in a file included with the data that you download from Geography Network.

Introduction from Esri

[Note: Links have been updated from Esri's original documentation to reflect current URL's.]

INTRODUCTION

We are pleased that you are using the Census TIGER® 2000 data available through Geography Network. The Geography Network TIGER® data set includes over 70,000 compressed files of geographic data that are available for download. Each file represents a data layer for a single county in the United States. As data layers are requested for download, ESRI assembles all the files and packages them as a single .ZIP file for download

HOW TO ACCESS THE DATA

To access the data, you must decompress the .ZIP file that was downloaded and then decompress each of data layer .ZIP files it contains. This can be done using a compression tool such as WinZip or PK Unzip or using ESRI's ArcExplorer software. Once the data layers have been decompressed, you can display the data using GIS sofware such as ESRI's ArcExplorer or ArcView GIS. Simply use the "add theme" function for each of the shapefiles.

DATA DOCUMENTATION

Documentation for the TIGER® 2000 data can be found on the Census Web site at the URL addresses below:

Note: TIGER® and TIGER/Line® are registered trademarks of the U.S. Bureau of the Census.

File Naming Convention Part 1

Each data file name is a combination of a layer abbreviation (e.g. 'blk') and a 5-digit County FIPS Code (e.g. '53001') and the file extension (e.g. '.zip' or '.shp'). For example, the compressed county data layer for Cook County, Illinois would be named 'cty17031.zip'. The data layers contained within the .ZIP file contain a TIGER® abbreviation prefix (i.e. 'tgr') followed by the County FIPS and layer abbreviation (e.g. 'tgr17031cty.shp'). Below is a list of the abbreviations for each of the TIGER® data layers.

Layer Name Abbreviation

Line Features - Roads

lkA

Line Features - Rails

lkB

Line Features - Misc. Transport

lkC

Line Features - Landmarks

lkD

Line Features – Physical

lkE

Line Features – Non-visible

lkF

Line Features – Hydrography

lkH

Line Features – Unknown

lkX

County 1990

cty

County - Current

ctycu

County 2000

cty00

Census Tracts 1990

trt

Census Tracts 2000

trt00

Block Groups 1990

grp

Block Groups 2000

grp00

Census Blocks 1990

blk

Census Blocks 2000

blk00

Designated Places 1990

plc

Designated Places 2000

plc00

Designated Places – Current

plccu

County Census Divisions – Current

ccdcu

County Census Divisions 2000

ccd00

Voting Districts

vot

Voting Districts 2000

vot00

Indian/Alaska Native Areas

air00

American Indian Tribal Subdivisions

aits

American Indian/Alaska Native Areas

air

American Indian/Alaska Native Areas - Current

aircu

Alaskan Native Regional Corporations

arc

File Naming Convention Part 2

Layer Name Abbreviation

Key Geographic Locations

kgl

Landmark Polygons

lpy

Landmark Points

lpt

Traffic Analysis Zones

taz

Urban Areas

urb

Consolidated Cities

city

School Districts – Elementary

elm

School Districts – Middle

mid

School Districts – Secondary

sec

School Districts – Unified

uni

Water Polygons

wat

CMSA/MSA Polygons 2000

msa00

PMSA Polygons 2000

pms00

Congressional Districts – 106th

cd106

Congressional Districts – Current

cdc

State House Districts

hse

State Senate Districuts

sen

Oregon Urban Growth Area

uga

Census 2000 Collection Blocks

colblk

ZIP Code Tabulation Areas

zcta

State Legislative District Lower Chamber

sldl

State Legislative District Upper Chamber

sldu

Alternate Feature Names

alt

Address Matching Info

add2

ZIP+4 Left and Right Info

zip

Key Geographic Location Addresses

add

Landmark Polygon Names

lpy2

Landmark Polygons – Multi-landmark

lpy3

Water Polygons – Multi-names

wat2