Table 1 Description of each of the core-based statistical areas considered and some statistics about our data set.
From: Mobility patterns are associated with experienced income segregation in large US cities
CBSA name | State | Population | # smartphones | # stays |
|---|---|---|---|---|
New York-Jersey City | NY-NJ-PA | 19.83 M | 558 k | 141 M |
Los Angeles-Long Beach-Anaheim | CA | 13.05 M | 630 k | 120 M |
Chicago-Naperfille-Elgin | IL-IN-WI | 9.52 M | 411 k | 123 M |
Dallas-Fort Worth-Arlington | TX | 6.70 M | 447 k | 105 M |
Philadelphia-Camden-Wilmington | PA-NJ-DE-MD | 6.02 M | 432 k | 113 M |
Washington-Arlington-Alexandria | DC-VA-MD-WV | 5.86 M | 212 k | 55 M |
Miami-Fort Lauderdale-West Palm Beach | FL | 5.76 M | 270 k | 74 M |
Boston-Cambridge-Newton | MA-NH | 4.64 M | 123 k | 30 M |
San Francisco-Oakland-Hayward | CA | 4.46 M | 504 k | 129 M |
Detroit-Warren-Dearborn | MI | 4.29 M | 338 k | 105 M |
Seattle-Tacoma-Bellevue | WA | 3.55 M | 100 k | 28 M |
Total | 83.5 M | 3.6 M | 976 M |
