[ U.S. mobility Data (ndjson) | U.S. mobility Data (csv) | U.S. m50_index Data (alternate csv) ]
Descartes Labs is releasing mobility statistics (representing the distance a typical member of a given population moves in a day) at the US admin1 (state) and admin2 (county) level. A technical report describing the motivation behind this work with methodology and definitions is available at descarteslabs.com/mobility-v097. We intend to update the data in this repository regularly.
NDJSON format data can be found in the DL-us-mobility.ndjson file.
{"cc": "US", "admin_level": 2,
"admin1": "New Mexico", "admin2": "Santa Fe County", "fips": "35049",
"date": ["2020-03-24", "2020-03-25", "2020-03-26"],
"samples": [1337, 1292, 1331],
"m50": [0.155, 0.278, 0.095],
"m50_index": [2, 4, 1]}
...The same data is available in CSV format in the DL-us-mobility-daterow.csv file.
date,country_code,admin_level,admin1,admin2,fips,samples,m50,m50_index
2020-03-26,US,2,"New Mexico","Santa Fe County","35049",1331,0.095,1
...
An alternate arrangement of the same data in CSV format with dates in the header, which may be preferable for some users, is in the DL-us-m50.csv, DL-us-m50_index.csv and DL-us-samples.csv files.
country_code,admin_level,admin1,admin2,fips,2020-03-24,2020-03-25,2020-03-26
US,2,"New Mexico","Santa Fe County","35049",2,4,1
...
- country_code: ISO 3166-1 alpha-2 code.
- admin_level: 0 for country, 1 for admin1, 2 for admin2 granularity.
- admin1: GeoNames ADM1 feature name for the first-order administrative division, such as a state in the United States.
- admin2: GeoNames ADM2 feature name for the second-order administrative division, such as a county or borough in the United States.
- fips: FIPS code, a standard geographic identifier, to make it easier to combine this data with other data sets.
- samples: The number of samples observed in the specified region.
- m50: The median of the max-distance mobility for all samples in the specified region.
- m50_index: The percent of normal m50 in the region, with normal m50 defined during 2020-02-17 to 2020-03-07.
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GeoDS Lab @ UW-Madison - geods.geography.wisc.edu/covid19/physical-distancing/
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Descartes Labs - www.descarteslabs.com/mobility/#overview
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Nik Haldimann - Lockdown Hack #2: Towards proving that social distancing works
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Ballad Health - COVID-19 Physical Distancing Scorecard
This data is licensed under a Creative Commons Attribution 4.0 International License, which requires attribution to "Descartes Labs." Scientific publications may cite,
Warren, Michael S. & Skillman, Samuel W. "Mobility Changes in Response to COVID-19". arXiv:2003.14228 [cs.SI], Mar. 2020. arxiv.org/abs/2003.14228
For online use, please additionally link to our page at descarteslabs.com/mobility/.
See the LICENSE for the terms of use for this data.
If you have questions, please contact us at:
We also encourage you to register with us in order to receive updates about the analysis methodology or changes to this data.
Song Gao, Jinmeng Rao, Yuhao Kang, Yunlei Liang, Jake Kruse, "Mapping county-level mobility pattern changes in the United States in response to COVID-19". arXiv:2004.04544 [physics.soc-ph], Apr. 2020. arxiv.org/abs/2004.04544
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