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TIGER Roads Time Series

The TIGER (Topologically Integrated Geographic Encoding and Referencing) Roads time series dataset provides a comprehensive collection of United States road networks from 2009 to 2025, representing one of the most important foundational geospatial datasets in the digital mapping ecosystem. Developed and maintained by the U.S. Census Bureau, this dataset forms the backbone of countless mapping applications, navigation systems, and geospatial analyses across the United States.

TIGER Roads represents the most comprehensive, authoritative, and publicly available road network dataset for the United States. Each annual release contains millions of road segment features covering all 50 states, the District of Columbia, Puerto Rico, and U.S. Island Areas. The dataset's topological structure ensures that every road segment is properly connected to the broader network, enabling sophisticated routing and network analysis applications.

The time series reveals the ongoing evolution and refinement of this critical dataset. The data shows a story of quality improvement and methodological enhancement, with feature counts stabilizing around 20 million from 2010-2012, then gradually declining to approximately 16.4 million in 2025 as the Census Bureau consolidates redundant features and improves data topology.

Note: The 2009 dataset shows an anomalously high feature count (89.5 million) compared to all subsequent years. Users should verify this count and investigate potential data quality issues, duplicate features, or methodological differences in the 2009 release before using it for analysis.

Feature Count Evolution

Year Number of Road Features Change from Previous Year
2009 89,503,682 -
2010 20,279,763 -69,223,919
2011 20,186,771 -92,992
2012 19,889,811 -296,960
2013 19,655,632 -234,179
2014 19,609,146 -46,486
2015 19,531,817 -77,329
2016 19,401,722 -130,095
2017 18,800,412 -601,310
2018 18,315,773 -484,639
2019 18,123,446 -192,327
2020 18,009,370 -114,076
2021 18,004,254 -5,116
2022 17,979,848 -24,406
2023 17,900,582 -79,266
2024 17,813,006 -87,576
2025 16,438,449 -1,374,557

Total Change (2009-2025): -73,065,233 features (-81.6%) Total Change (2010-2025): -3,841,314 features (-18.9%)

The declining feature count from 2010 onward reflects ongoing data quality improvements through conflation processes, where redundant or duplicate road segments are merged, topology is corrected, and the overall dataset structure is refined.

Technical Specifications

Feature Properties

Each road segment contains detailed attribute information that enables sophisticated address matching and routing operations:

Property Description Example Value
FULLNAME Complete concatenated road name with all components "I- 395"
LINEARID Unique linear feature identifier used across TIGER products "1104469410451"
MTFCC MAF/TIGER Feature Class Code indicating road functional classification "S1100"
NAME Base street name or route number without directionals or types "395"
PREDIR Prefix directional (North, South, East, West) null
PREQUAL Prefix qualifier (Old, New, etc.) null
PRETYP Prefix type (State Route, County Road, etc.) "344"
RTTYP Route type classification for numbered highway systems "I"
SUFDIR Suffix directional (North, South, East, West) null
SUFQUAL Suffix qualifier null
SUFTYP Suffix type (Street, Avenue, Road, etc.) null

Route Type (RTTYP) Classifications

The route type code (RTTYP) describes the type of road for numbered highway systems:

Code Description
C County Road
I Interstate Highway
M Common Name
O Other
S State Recognized Highway
U U.S. Highway

MTFCC Road Classifications

Code Description Typical Use
S1100 Primary Road Interstate highways, major arterials
S1200 Secondary Road State highways, major collectors
S1400 Local Neighborhood Road Residential streets, local roads
S1500 Vehicular Trail Unpaved roads, 4WD trails

Earth Engine Assets

The complete time series is available in Google Earth Engine under the following asset structure:

projects/sat-io/open-datasets/TIGER/[YEAR]/Roads

Where [YEAR] ranges from 2009 to 2025.

tigerroads

Earth Engine Snippet

// Load and visualize TIGER Roads for a specific year
var year = 2025;
var roads = ee.FeatureCollection("projects/sat-io/open-datasets/TIGER/" + year + "/Roads");

// Style roads with basic blue color
var styled = roads.style({color: '#4285F4', width: 1});

// Center map on New York City
Map.setCenter(-73.99172, 40.74101, 12);
Map.addLayer(styled, {}, 'TIGER/' + year + '/Roads');

Sample Code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-utilities-assets-amenities/TIGER-ROADS-MULTIYEAR

Citation

U.S. Census Bureau. TIGER/Line Shapefiles [Year]. Washington, DC: U.S. Census Bureau.
Available at: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html

License

The U.S. Census Bureau offers some of its public data in machine-readable format via an Application Programming Interface (API). All of the content, documentation, code and related materials made available through the API are subject to these terms and conditions

Keywords : TIGER, Roads, Transportation, Infrastructure, Time Series, U.S. Census Bureau, Network Analysis, Routing, Navigation, GIS, Temporal Analysis, National Mapping

Created by: U.S. Census Bureau

Curated for GEE by: Noah Weidig, Victoria Donovan and Samapriya Roy

Last Updated: 2025-12-14

Changelog

  • Added 2009-2011 years
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