U.S. Daily Mobility Statistics with Trip Distance Bins, State and County Levels

Daily Mobility Statistics were derived from a multi-provider mobile data panel to reduce geographic and temporal sample bias. The data cover the COVID and Post-COVID periods and are reported at national, state, and county levels, with county data suppressed if fewer than 50 devices were sampled on a given day. The experimental dataset is hosted by data.bts.gov and was last updated on 2025-03-14.

Use Cases

• Analyze daily changes in Population Staying at Home and Population Not Staying at Home at the State and County level.
• Model trip frequency distribution by distance using columns like Number of Trips <1, Number of Trips 1-3, up to Number of Trips >=500.
• Track weekly and monthly mobility trends by aggregating Date, Week, and Month fields with Geographic Level.
• Join with external datasets using State FIPS, County FIPS, and State Postal Code for spatial analysis.

Strengths

• Data is derived from a merged panel of several mobile data providers to reduce single-source bias.
• Includes 22 columns detailing trip counts across 10 distance bins, home population, and geographic identifiers.
• Applies a multi-level weighting method to expand the sample to represent state and county populations.

Limitations

• Dataset is marked as experimental and does not meet all BTS data quality standards.
• Row count is unknown, which may limit suitability assessment.
• County-level data is suppressed for days with fewer than 50 devices, potentially creating gaps.

Provenance

Source

data.bts.gov

Collection Method

Constructed from anonymized mobile device location data meeting quality standards, filtered and weighted using a multi-level method.

Time Range

Covers the COVID and Post-COVID periods.

Freshness

Last updated 2025-03-14 21:04:59.

Geography

United States, at national, state, and county levels.