Google Mobility Trends for London Boroughs During COVID-19

Google Mobility by Borough provides evidence of how movement in London was affected by COVID-19 control measures and subsequent recovery. The data, aggregated by the Greater London Authority, summarises changes in activity from a baseline for categories like retail, parks, transit, and workplaces. Google collected location data from Android smartphones, comparing visits to a baseline from early 2020, with updates stopping on 15 October 2022.

Use Cases

• Modeling the impact of lockdowns on retail activity based on the 'Retail and recreation' metric.
• Assessing recovery of public transit usage based on the 'Transit stations' data.
• Analyzing shifts in work-from-home patterns based on the 'Workplaces percent' and 'Residential' metrics.
• Comparing mobility changes across different London boroughs for policy evaluation.

Strengths

• Data is sourced from Google's established Mobility Report methodology.
• Covers six distinct activity categories relevant to public life and policy.
• Provides borough-level geographic granularity for London.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Data collection stopped on 15 October 2022, limiting temporal coverage for post-pandemic analysis.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Greater London Authority, using data from Google's Mobility Report.

Collection Method

Google collects anonymized location data from Android smartphones, comparing visit duration to a baseline from January 2020.

Time Range

Likely covers the period from the start of the COVID-19 pandemic until 15 October 2022.

Freshness

Last updated 2026-03-25 12:01:30.088403; freshness should be verified as source data stopped in 2022.

Geography

London, United Kingdom, with data aggregated by borough.