Vital Signs: Commute Time (by Place of Residence) – Bay Area (2022)
VITAL SIGNS INDICATOR
Commute Time (T3)
FULL MEASURE NAME
Commute time by residential location
LAST UPDATED
January 2023
DESCRIPTION
Commute time refers to the average number of minutes a commuter spends traveling to work on a typical day. The dataset includes metropolitan area, county, city, and census tract tables by place of residence.
DATA SOURCE
U.S. Census Bureau: Decennial Census (1980-2000) - via MTC/ABAG Bay Area Census - http://www.bayareacensus.ca.gov/transportation.htm
U.S. Census Bureau: American Community Survey - https://data.census.gov/
2006-2021
Form C08136
Form C08536
Form B08301
Form B08301
Form B08301
CONTACT INFORMATION
vitalsigns.info@bayareametro.gov
METHODOLOGY NOTES (across all datasets for this indicator)
For the decennial Census datasets, breakdown of commute times was unavailable by mode; only overall data could be provided on a historical basis.
For the American Community Survey (ACS) datasets, 1-year rolling average data was used for all metros, region and county geographic levels, while 5-year rolling average data was used for cities and tracts. This is due to the fact that more localized data is not included in the 1-year dataset across all Bay Area cities. Similarly, modal data is not available for every Bay Area city or census tract, even when the 5-year data is used for those localized geographies.
Regional commute times were calculated by summing aggregate county travel times and dividing by the relevant population; similarly, modal commute times were calculated using aggregate times and dividing by the number of communities choosing that mode for the given geography.
Census tract data is not available for tracts with insufficient numbers of residents. The metropolitan area comparison was performed for the nine-county San Francisco Bay Area in addition to the primary metropolitan statistical areas (MSAs) for the nine other major metropolitan areas.
Querying over HTTP
Splitgraph serves as an HTTP API that lets you run SQL queries directly on
this data to power Web applications. For example:
curl https://data.splitgraph.com/sql/query/ddn \
-H "Content-Type: application/json" \
-d@-<<EOF
{"sql": "
SELECT *
FROM \"bayareametro-gov/vital-signs-commute-time-by-place-of-residence-bay-jgx3-k2u8\".\"vital_signs_commute_time_by_place_of_residence_bay\"
LIMIT 100
"}
EOFSee the Splitgraph documentation
for more information.
