Exploring Economic Sectoral Dynamics Through High-resolution Mobility Data

TL;DR

This paper introduces a detailed, anonymized dataset of human mobility across US economic sectors from 2019 to 2023, enabling analysis of sector-specific mobility changes during major events like the COVID-19 pandemic.

Contribution

It provides a high-resolution, sector-organized mobility dataset covering four years, facilitating research on economic and social dynamics with privacy protections.

Findings

Captured mobility patterns across 12 million POIs

Enabled analysis of COVID-19 impact on mobility

Supported studies on economic resilience and recovery

Abstract

We present a comprehensive dataset capturing patterns of human mobility across the United States from January 2019 to January 2023, based on anonymized mobile device data. Aggregated weekly, the dataset reports visits, travel distances, and time spent at public locations organized by economic sector for approximately 12 million Points of Interest (POIs). This resource enables the study of how mobility and economic activity changed over time, particularly during major events such as the COVID-19 pandemic. By disaggregating patterns across different types of businesses, it provides valuable insights for researchers in economics, urban studies, and public health. To protect privacy, all data have been aggregated and anonymized. This dataset offers an opportunity to explore the dynamics of human behavior across sectors over an extended time period, supporting studies of mobility, resilience, and recovery.