| --- |
| pretty_name: Google Community Mobility Reports — global daily |
| license: cc-by-4.0 |
| size_categories: |
| - 10M<n<100M |
| tags: |
| - cadence-daily |
| - geo-global |
| - surveillance-mobility |
| - tier-2 |
| - availability-inactive |
| schema_version: '0.1' |
| source_id: global-mobility |
| source_url: https://www.google.com/covid19/mobility/ |
| manifest_section: §15.7 |
| surveillance_category: mobility |
| pathogens: [] |
| availability: inactive |
| availability_notes: Google ended data collection 2022-10-15. Historical CSV remains available; not updated. |
| access_type: csv |
| tier: 2 |
| cadence: daily |
| geography_levels: |
| - national |
| - subnational-state |
| - subnational-county |
| - subnational-city |
| geography_countries: |
| - multiple |
| gold_standard_for: [] |
| vintaged_version_of: null |
| succeeds: null |
| derived_from: [] |
| value_columns: |
| - name: retail_and_recreation |
| unit: percent change vs. baseline |
| value_type: index |
| description: 'Daily % change in visits + length of stay at retail / recreation places |
| |
| (restaurants, cafes, shopping centers, theme parks, museums, libraries, |
| |
| cinemas) compared to the baseline (median value for the 5-week period |
| |
| Jan 3 – Feb 6, 2020). |
| |
| ' |
| aggregation: mean |
| - name: grocery_and_pharmacy |
| unit: percent change vs. baseline |
| value_type: index |
| description: Daily % change in visits to grocery markets, food warehouses, farmers' markets, specialty food shops, drug |
| stores, pharmacies. |
| aggregation: mean |
| - name: parks |
| unit: percent change vs. baseline |
| value_type: index |
| description: Daily % change in visits to local parks, national parks, public beaches, marinas, dog parks, plazas, public |
| gardens. |
| aggregation: mean |
| - name: transit_stations |
| unit: percent change vs. baseline |
| value_type: index |
| description: Daily % change in visits to public transport hubs (subway, bus, train stations). |
| aggregation: mean |
| - name: workplaces |
| unit: percent change vs. baseline |
| value_type: index |
| description: Daily % change in visits to places of work. |
| aggregation: mean |
| - name: residential |
| unit: percent change vs. baseline |
| value_type: index |
| description: 'Daily % change in time spent in places of residence. (Note: this is |
| |
| length-of-stay, not visit count — different metric than the other five.) |
| |
| ' |
| aggregation: mean |
| notes: |
| extra_columns: |
| - column: location_name |
| description: 'Most-specific populated source field — county name for county rows, |
| |
| metro name for metro rows, ISO sub-region name for state rows, country |
| |
| name for national rows. `location_id` is canonical. |
| |
| ' |
| interpretation_caveats: |
| - column: residential |
| caveat: 'Residential is reported as % change in *length of stay*, not visit |
| |
| count. The other five categories are visit-based. Don''t sum or compare |
| |
| directly across these two flavours. |
| |
| ' |
| - column: parks |
| caveat: 'Parks shows extreme seasonal cyclicity (winter vs. summer is a 200%+ |
| |
| swing in many countries) that reflects normal seasonality, not |
| |
| pandemic-period behaviour change. Detrend before any pandemic analysis. |
| |
| ' |
| - column: workplaces |
| caveat: 'Holidays / weekends are baked into the baseline since the baseline is |
| |
| a median across weekdays + weekends. Day-of-week cycles in the output |
| |
| are real but reflect *deviation* from the comparable weekday''s baseline. |
| |
| ' |
| general: 'Aggregated, anonymised mobility signals derived from Google Maps Location |
| |
| History data. Coverage is global at the national level; subnational depth |
| |
| varies by country (US has county granularity, most others have ISO 3166-2 |
| |
| state-level only). Privacy threshold means small geographies / low-traffic |
| |
| days are NaN. |
| |
| ' |
| extra: |
| baseline_period: median value across Jan 3 – Feb 6, 2020 (5 weeks, per weekday) |
| collection_end_date: '2022-10-15' |
| source_columns_omitted: '`place_id` (Google internal place identifier — opaque), `sub_region_1`, |
| |
| `sub_region_2`, `country_region`, `metro_area` (collapsed into the derived |
| |
| `location_id` + `location_name`), `country_region_code`, `iso_3166_2_code`, |
| |
| `census_fips_code` (likewise collapsed). |
| |
| ' |
| computed: |
| last_ingested: '2026-04-26T12:14:44Z' |
| row_count: 11728497 |
| time_coverage: |
| - start: '2020-02-15' |
| end: '2022-10-15' |
| geography_unit_count: 5306 |
| observed_cadence_days: 1 |
| missing_gaps: [] |
| data_hash: 63d11fb60ba0adbb |
| --- |
| |
| # Google Community Mobility Reports — global daily |
|
|
| Aggregated, anonymised mobility signals derived from Google Maps Location |
| History data. Coverage is global at the national level; subnational depth |
| varies by country (US has county granularity, most others have ISO 3166-2 |
| state-level only). Privacy threshold means small geographies / low-traffic |
| days are NaN. |
|
|
| **Source:** <https://www.google.com/covid19/mobility/> |
|
|
| ## Coverage |
|
|
| - **Time:** 2020-02-15 → 2022-10-15 |
| - **Cadence:** `daily` (observed median spacing: 1 days) |
| - **Geography levels:** `national`, `subnational-state`, `subnational-county`, `subnational-city` — 5306 unique location IDs |
| - **Countries:** multiple |
| - **Pathogens:** — |
| - **Surveillance category:** `mobility` |
| - **Rows:** 11,728,497 |
|
|
| ## Columns |
|
|
| | Column | Unit | value_type | Aggregation | Description | |
| |--------|------|------------|-------------|-------------| |
| | `retail_and_recreation` | percent change vs. baseline | `index` | `mean` | Daily % change in visits + length of stay at retail / recreation places |
| (restaurants, cafes, shopping centers, theme parks, museums, libraries, |
| cinemas) compared to the baseline (median value for the 5-week period |
| Jan 3 – Feb 6, 2020). |
| | |
| | `grocery_and_pharmacy` | percent change vs. baseline | `index` | `mean` | Daily % change in visits to grocery markets, food warehouses, farmers' markets, specialty food shops, drug stores, pharmacies. | |
| | `parks` | percent change vs. baseline | `index` | `mean` | Daily % change in visits to local parks, national parks, public beaches, marinas, dog parks, plazas, public gardens. | |
| | `transit_stations` | percent change vs. baseline | `index` | `mean` | Daily % change in visits to public transport hubs (subway, bus, train stations). | |
| | `workplaces` | percent change vs. baseline | `index` | `mean` | Daily % change in visits to places of work. | |
| | `residential` | percent change vs. baseline | `index` | `mean` | Daily % change in time spent in places of residence. (Note: this is |
| length-of-stay, not visit count — different metric than the other five.) |
| | |
|
|
| ### Additional data columns |
|
|
| - **`location_name`** — Most-specific populated source field — county name for county rows, |
| metro name for metro rows, ISO sub-region name for state rows, country |
| name for national rows. `location_id` is canonical. |
| |
| |
| ## Interpretation caveats |
| |
| Things that may differ from how other sources define a similar measure. If you're combining this dataset with another, read these first. |
| |
| - **`residential`** — Residential is reported as % change in *length of stay*, not visit |
| count. The other five categories are visit-based. Don't sum or compare |
| directly across these two flavours. |
|
|
| - **`parks`** — Parks shows extreme seasonal cyclicity (winter vs. summer is a 200%+ |
| swing in many countries) that reflects normal seasonality, not |
| pandemic-period behaviour change. Detrend before any pandemic analysis. |
|
|
| - **`workplaces`** — Holidays / weekends are baked into the baseline since the baseline is |
| a median across weekdays + weekends. Day-of-week cycles in the output |
| are real but reflect *deviation* from the comparable weekday's baseline. |
|
|
|
|
| ## Access |
|
|
| - **Availability:** `inactive` |
| - **Access type:** `csv` |
| - **License:** cc-by-4.0 |
| - **Tier:** 2 |
|
|
| --- |
|
|
| *Schema version `0.1` · Last ingested 2026-04-26T12:14:44Z · `source_id: global-mobility` · Manifest section §15.7* |
|
|
