google_mobility: Google Mobility Data
In kjhealy/covmobility: COVID-19-related Mobility Data from Apple and Google

Description Usage Format Details Author(s) Source

Data from Google's Community Mobility Reports on relative changes in movement trends by location type.

1	google_mobility

A data frame with 27,094,812 rows and 11 variables:

country_region_code: character Country Code
country_region: character Country or Region name
sub_region_1: character Subregion (e.g. US state) name
sub_region_2: character Subregion (e.g. US county) name
metro_area: Metropolitan area name
iso3166_2: character ISO 3166-2 Country/Region code
census_fips_code: character US Census FIPS code
place_id: character Place ID (hashed)
date: double Date in yyyy-mm-dd format
type: character Type of location. Values are retail, grocery (and pharmacy), parts, transit (hubs/stations), workplaces, and residential
pct_diff: integer Percent change from baseline activity

Table: Data summary


Name	google_mobility
Number of rows	27094812
Number of columns	11
_______________________
Column type frequency:
Date	1
character	9
numeric	1
________________________
Group variables	None

Variable type: Date

skim_variable	n_missing	complete_rate	min	max	median	n_unique
date	0	1	2020-02-15	2021-03-05	2020-09-01	385

Variable type: character

skim_variable	n_missing	complete_rate	min	max	empty	n_unique	whitespace
country_region_code	17244	1.00	2	2	0	134	0
country_region	0	1.00	4	22	0	135	0
sub_region_1	459858	0.98	3	74	0	1860	0
sub_region_2	4500534	0.83	2	56	0	9915	0
metro_area	26945472	0.01	21	34	0	65	0
iso3166_2	22258770	0.18	4	6	0	2224	0
census_fips_code	21336414	0.21	5	5	0	2838	0
place_id	48912	1.00	27	27	0	13249	0
type	0	1.00	5	11	0	6	0

Variable type: numeric

skim_variable	n_missing	complete_rate	mean	sd	p0	p25	p50	p75	p100	hist
pct_diff	10131130	0.63	-13.02	31.05	-100	-31	-10	5	1206	▇▁▁▁▁

Location accuracy and the understanding of categorized places varies from region to region, so Google does not recommend using this data to compare changes between countries, or between regions with different characteristics (e.g. rural versus urban areas). Regions or categories are omitted if Google does not have have sufficient statistically significant levels of data for it. Changes for each day are compared to a baseline value for that day of the week. The baseline is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. What data is included in the calculation depends on user settings, connectivity, and whether it meets our privacy threshold. If the privacy threshold isn’t met (when somewhere isn’t busy enough to ensure anonymity) we don’t show a change for the day. As a result, you may encounter empty fields for certain places and dates. We calculate these insights based on data from users who have opted-in to Location History for their Google Account, so the data represents a sample of our users. As with all samples, this may or may not represent the exact behavior of a wider population. Google updated the way we calculate changes for Groceries & pharmacy, Retail & recreation, Transit stations, and Parks categories. For regions published before May 2020, the data may contain a consistent shift either up or down that starts between April 11–18, 2020. On October 5, 2020, Google added an improvement to the dataset to ensure consistent data reporting in the Groceries & pharmacy, Retail & recreation, Transit, Parks, and Workplaces categories. The update applies to all regions, starting on August 17, 2020. For more detailed information on considerations to bear in mind before using this data, see this overview from Google.

Kieran Healy

Google LLC "Google COVID-19 Community Mobility Reports." https://www.google.com/covid19/mobility/ Accessed: 2021-03-09

kjhealy/covmobility documentation built on March 17, 2021, 6:36 a.m.