All Roads County-Based TIGER/Line Shapefiles for 2020

2020 All Roads County-Based TIGER/Line Shapefiles contain geographic and cartographic road data extracted from the U.S. Census Bureau's MAF/TIGER Database. The dataset includes features like primary roads, city streets, bike paths, and private service roads, designed to stand alone or combine for national coverage. It is produced by the U.S. Census Bureau, Department of Commerce.

Use Cases

• Analyze road network connectivity and density using the MTDB Super Class 'Road/Path Features' for urban planning.
• Extract and map specific road types like vehicular trails or bike paths using the MAF/TIGER Feature Classification Code (MTFCC).
• Perform spatial joins with address data using the included Address Range feature for geocoding applications.
• Combine county-based shapefiles using their seamless, non-overlapping design to create a national road network dataset.

Strengths

• Data is extracted from the authoritative U.S. Census Bureau MAF/TIGER Database, ensuring national consistency.
• The dataset's design as a seamless national file with no overlaps or gaps supports accurate large-scale analysis.
• Includes a wide variety of road and path types, from primary roads to walkways and winter trails.

Limitations

• Specific data volume metrics like row count, file size, and column details are unknown, hindering initial assessment.
• Data is from 2020 and was last updated in 2021, so it may not reflect recent road construction or changes.
• The focus on U.S. roads limits applicability for international or comparative studies.

Provenance

Source

U.S. Census Bureau, Department of Commerce

Collection Method

Extract of selected geographic and cartographic information from the Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database.

Time Range

2020

Freshness

Data reflects 2020 geography; last platform update was 2021-10-12.

Geography

United States, organized by county or equivalent entity.