The TIGER/Line Files are shapefiles and related database files (.dbf) that are an extract of selected geographic and cartographic
information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing
(MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however,
each TIGER/Line File is designed to stand alone as an independent data set, or they can be combined to cover the entire nation.
Linear Water Features includes single-line drainage water features and artificial path features that run through double-line
drainage features such as rivers and streams, and serve as a linear representation of these features. The artificial path
features may correspond to those in the USGS National Hydrographic Dataset (NHD). However, in many cases the features do not
match NHD equivalent feature and will not carry the NHD metadata codes. These features have a MAF/TIGER Feature Classification
Code (MTFCC) beginning with an "H" to indicate the super class of Hydrographic Features.
Citation
Title 2010, Colfax County, NM, Linear Hydrography
publication Date
2011-06-06T15:00:59
cited responsible party
-
originator
organisation Name
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
Title INCITS.38-200x (R2004),INCITS.31-200x (R2007),INCITS.454-200x,INCITS 455-200x,INCITS 446-2008
purpose:
In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for
other geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line
Shapefiles.
Resource language:
eng; USA
Resource progress code:
complete
Resource Maintenance Information
maintenance or update frequency:
unknown
Constraints on resource usage:
Legal Constraints
Access Constraints
otherRestrictions
use constraint:
otherRestrictions
Other constraints
Access Constraints: None. Use Constraints: The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census
TIGER are registered trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however
acknowledgement must be given to the U.S. Census Bureau as the source. The boundary information in the TIGER/Line Shapefiles
are for statistical data collection and tabulation purposes only; their depiction and designation for statistical purposes
does not constitute a determination of jurisdictional authority or rights of ownership or entitlement and they are not legal
land descriptions.Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of
these coordinates is not as great as the six decimal places suggest. The data are free from Title 13 restrictions.
Spatial representation type code:
vector
Resource extent
Geographic Extent
Geographic Bounding Box
westBoundLongitude
-105.371731
eastBoundLongitude
-104.008032
northBoundLatitude
36.996007
southBoundLatitude
36.21762
Temporal Extent
publication date
2010-01-01
2010-07-01
point of contact
-
pointOfContact
organisation Name
U.S. Department of Commerce, U.S. Census Bureau, Geography Division, Geographic Products Branch
Contact information
Telephone
Voice 301-763-1128
Fax 301-763-4710
Address
4600 Silver Hill Road, Stop 7400, Washington, DC, 20233-7400
Country United States
Title North American Datum of 1983 in the 48 contiguous states, the District of Columbia, Alaska, Hawaii, Puerto Rico, the Virgin
Islands of the United States, and the Pacific Island Areas.
description TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census MAF/TIGER
data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing attributes
for line, polygon, or landmark geographic data.
source
source citation
Title MAF/TIGER
source
source description
The selected geographic and cartographic information (line segments) are derived from the U.S. Census Bureau's Master Address
File Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) database.
representative resolution scale:
Scale denominator:
source citation
Title Census MAF/TIGER database
alternateTitle
MAF/TIGER
cited responsible party
-
resourceProvider
organisation Name
U.S. Department of Commerce, U.S. Census Bureau, Geography Division
Resource extent
Temporal Extent
publication date
2010-01-01
2010-07-01
source
source description
Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title PWROADS-BERNCO
alternateTitle
None
publication Date
2001-06-01T00:00:00
cited responsible party
-
resourceProvider
organisation Name
124 Bernalillo County Bernalillo County Information Technologies
Resource extent
Temporal Extent
Publication Date
2001-06-01
2001-06-01
source
source description
Coordinates to realign selected road features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title PWROADS-BERNCO
alternateTitle
Unknown
publication Date
2002-10-01T00:00:00
cited responsible party
-
resourceProvider
organisation Name
124 Bernalillo County Bernalillo County Information Technologies
Resource extent
Temporal Extent
Ground Condition
2002-10-01
2002-10-01
source
source description
Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title National Hydrography Dataset - Med. Res.
alternateTitle
None1
cited responsible party
-
resourceProvider
organisation Name
506 USGS - National Hydrography Dataset Coordination and Requirements (C&R)
Resource extent
Temporal Extent
Unknown
source
source description
Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title National Hydrography Dataset - High Res.
alternateTitle
507 NHD
cited responsible party
-
resourceProvider
organisation Name
507 USGS - National Hydrography Dataset Coordination and Requirements (C&R)
Resource extent
Temporal Extent
Unknown
source
source description
Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title National Hydrography Dataset - High Res.
alternateTitle
817 NHD
cited responsible party
-
resourceProvider
organisation Name
817 USGS - National Hydrography Dataset Coordination and Requirements (C and R)
Resource extent
Temporal Extent
Unknown
source
source description
Coordinates to realign selected road features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title USGS- DOQ and DOQQ
alternateTitle
DOQQ
publication Date
2002-01-01T00:00:00
cited responsible party
-
resourceProvider
organisation Name
5702 United States Geological Survey National Mapping Division
Resource extent
Temporal Extent
20020101
2002-01-01
2002-01-01
source
source description
Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title National Hydrography Dataset - High Res.
alternateTitle
5703 NHD
cited responsible party
-
resourceProvider
organisation Name
5703 USGS - National Hydrography Dataset Coordination and Requirements (C&R)
Resource extent
Temporal Extent
Unknown
source
source description
Coordinates to realign selected road features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title Santa Fe County GIS
alternateTitle
SFGIS
cited responsible party
-
resourceProvider
organisation Name
5934 Santa Fe County County GIS
Resource extent
Temporal Extent
Publication Date
source
source description
Coordinates to realign selected road features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title Torrance NM HAS Collect
alternateTitle
Harris
cited responsible party
-
resourceProvider
organisation Name
6657 Harris Corporation
Resource extent
Temporal Extent
Unknown
source
source description
Coordinates to realign selected road features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title 2010 ADCAN GPS Feature Updates
alternateTitle
GPS
cited responsible party
-
resourceProvider
organisation Name
7190 Census Bureau - Geography Division US Census Bureau - Geo Div - LFGPB
Resource extent
Temporal Extent
Unknown
source
source description
Coordinates to realign selected road features in the Census MAF/TIGER database.
representative resolution scale:
Scale denominator:
source citation
Title 2010 ADCAN Manual Feature Updates
alternateTitle
Census
cited responsible party
-
resourceProvider
organisation Name
7191 Census Bureau - Geography Division US Census Bureau - Geo Div - LFGPB
Resource extent
Temporal Extent
Unknown
AbsoluteExternalPositionalAccuracy
name Of Measure Horizontal Positional Accuracy
measure Description
The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy
Standards, Part 3: National Standard for Spatial Data Accuracy.
evaluation Method Description
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal
spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal
spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its
associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS
coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred
to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection
method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against
which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated
and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence.
The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times
the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical
formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians.
The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in the U.S. Government's
Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National
Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data
requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline
file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's
contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road features identified
as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile
as a whole.
Quantitative Result
result value 6.64
value Units
AbsoluteExternalPositionalAccuracy
name Of Measure Horizontal Positional Accuracy
measure Description
The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy
Standards, Part 3: National Standard for Spatial Data Accuracy.
evaluation Method Description
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal
spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal
spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its
associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS
coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred
to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection
method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against
which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated
and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence.
The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times
the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical
formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians.
The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in the U.S. Government's
Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National
Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data
requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline
file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's
contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road features identified
as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile
as a whole.
Quantitative Result
result value 7.344
value Units
AbsoluteExternalPositionalAccuracy
name Of Measure Horizontal Positional Accuracy
measure Description
The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy
Standards, Part 3: National Standard for Spatial Data Accuracy.
evaluation Method Description
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal
spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal
spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its
associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS
coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred
to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection
method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against
which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated
and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence.
The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times
the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical
formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians.
The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in the U.S. Government's
Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National
Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data
requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline
file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's
contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road features identified
as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile
as a whole.
Quantitative Result
result value 7.15
value Units
AbsoluteExternalPositionalAccuracy
name Of Measure Horizontal Positional Accuracy
measure Description
The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy
Standards, Part 3: National Standard for Spatial Data Accuracy.
evaluation Method Description
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal
spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal
spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its
associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS
coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred
to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection
method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against
which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated
and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence.
The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times
the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical
formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians.
The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in the U.S. Government's
Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National
Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data
requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline
file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's
contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road features identified
as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile
as a whole.
Quantitative Result
result value 6.99
value Units
AbsoluteExternalPositionalAccuracy
name Of Measure Horizontal Positional Accuracy
measure Description
The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy
Standards, Part 3: National Standard for Spatial Data Accuracy.
evaluation Method Description
The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal
spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal
spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its
associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS
coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are referred
to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the collection
method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth' against
which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are calculated
and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95% confidence.
The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus (2.65 times
the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded statistical
formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau statisticians.
The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in the U.S. Government's
Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards. Part 3: National
Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with Federal Spatial Data
requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken from the centerline
file and the coordinate values from an independent source of higher accuracy are those acquired through the Census Bureau's
contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road features identified
as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of the TIGER/Line Shapefile
as a whole.
Quantitative Result
result value 7.09
value Units
Completeness Commission
ConceptualConsistency
measure Description
There may be some inconsistencies in feature names along features. An anomaly exists with the sporadic occurrence of road
segments comprising a complete chain with different MAF/TIGER Feature Census Class Code (MTFCC) values assigned. This problem
could affect applications that use the MTFCC values for network analysis, routing, or for assigning symbology to a feature
when creating a map. The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Node/geometry
and topology relationships are collected or generated to satisfy topological edit requirements. These requirements include:
(1) Complete chains must begin and end at nodes. (2) Complete chains must connect to each other at nodes. (3) Complete chains
do not extend through nodes. (4) Left and right polygons are defined for each complete chain element and are consistent throughout
the extract process. (5) The chains representing the limits of the files are free of gaps.