Uber Fare Data in the US - Rideshare Dashboard

Uber Fare Data in the US as of 11-12-2014

	Uber						XL
	Base Fare	Minute	Mile	Safety	Min Fare	Cancel	Base Fare	Minute	Mile	Safety	Min Fare	Cancel
‘Akron’	2	0.3	1.4	1	5	5	0	0	0	0	0	0
‘Albuquerque’	1.3	0.25	1.75	1	5	5	0	0	0	0	0	0
‘Amarillo’	1.9	0.25	1.75	1	5.7	5	0	0	0	0	0	0
‘Anchorage’	2.5	0.25	2.1	1	6	0	0	0	0	0	0	0
‘Ann Arbor’	1.3	0.18	1.3	1	4	5	3	0.2	2.5	1	7	7
‘Annapolis’	2.76	0.19	1.52	1	5.6	5	0	0	0	0	0	0
‘Asheville, NC’	2.2	0.2	1.85	1	5	5	0	0	0	0	0	0
‘Athens’	1.3	0.16	1.22	1	6	6	0	0	0	0	0	0
‘Atlanta’	1.3	0.16	1.22	1	6	6	3.1	0.3	2.2	1	8	6
‘Auburn, AL’	1.5	0.2	1.6	1	5	5	0	0	0	0	0	0
‘Austin’	1.3	0.3	1.7	1	0	5	2.9	0.45	2.8	1	0	5
‘Bakersfield’	1.9	0.25	1.25	1	4	5	0	0	0	0	0	0
‘Baltimore’	1.75	0.15	1.3	1	4	5	3	0.25	2.25	1	7	5
‘Baton Rouge’	2.5	0.35	1.6	1	5	5	4	0.4	2.8	1	7	5
‘Boise’	2.5	0.25	1.75	1	5	5	0	0	0	0	0	0
‘Boston’	2	0.21	1.2	1	5	10	3.5	0.35	2.45	1	7	10
‘Burlington’	2.15	0.3	2	1	5	5	0	0	0	0	0	0
‘Charleston, SC’	1.95	0.2	1.75	1	4	5	0	0	0	0	0	0
‘Charlotte’	2	0.2	1.25	1	4	5	4	0.3	2.55	1	7	5
‘Charlottesville, VA’	2.75	0.25	1.5	1	5	5	0	0	0	0	0	0
‘Chicago’	1.7	0.2	0.9	1	2.7	5	3	0.35	1.75	1	6	5
‘Cincinnati’	2	0.25	1.25	1	5	5	3.85	0.4	2.15	1	7	5
‘Cleveland’	2	0.25	1.25	1	5	5	3.85	0.4	2.15	1	7	5
‘College Station’	1.9	0.25	1.75	1	5.7	5	0	0	0	0	0	0
‘Columbia, MO’	1.75	0.5	1.8	1	5	5	0	0	0	0	0	0
‘Columbia, SC’	1.95	0.2	1.75	1	4	5	0	0	0	0	0	0
‘Columbus’	0.5	0.22	1.3	1	5	5	3.3	0.23	2.15	1	7	5
‘Connecticut’	3	0.2	1.9	1	7	10	0	0	0	0	0	0
‘Corpus Christi’	1.75	0.25	1.45	1	4.7	5	0	0	0	0	0	0
‘Dallas’	0	0.17	1.2	1	5	6	2.85	0.25	1.85	1	7	6
‘Dayton’	2	0.3	1.4	1	5	5	0	0	0	0	0	0
‘Denver’	1	0.16	1.35	1	4	5	3	0.3	2.35	1	7	5
‘Des Moines’	1.75	0.2	1.6	1	5	5	0	0	0	0	0	0
‘Detroit’	1.4	0.18	1.2	1	5	5	3.5	0.2	2.2	1	7	7
‘El Paso’	1.9	0.25	1.75	1	5.7	5	0	0	0	0	0	0
‘Eugene’	3	0.3	1.75	1	6	5	0	0	0	0	0	0
‘Fayetteville, AR’	2.5	0.2	1.65	1	6	5	0	0	0	0	0	0
‘Fayetteville, NC’	1.95	0.2	1.5	1	4	4	0	0	0	0	0	0
‘Flagstaff’	2	0.18	1.7	1	4	5	0	0	0	0	0	0
‘Flint’	2.8	0.2	1.6	1	6	5	0	0	0	0	0	0
‘Fresno’	2	0.25	1.55	1	6	5	3.5	0.35	2.4	1	7	5
‘Gainesville’	2	0.2	1.8	1	5	5	0	0	0	0	0	0
‘Grand Rapids’	2.8	0.2	1.6	1	6	5	4	0.3	2.6	1	7	7
‘Green Bay’	2.15	0.3	1.95	1	5	5	0	0	0	0	0	0
‘Greenville, SC’	1.95	0.2	1.75	1	4	5	0	0	0	0	0	0
‘Hampton Roads’	1.5	0.2	1.6	1	5	5	0	0	0	0	0	0
‘Hamptons’	10	1	3.35	0	25	15	0	0	0	0	0	0
‘Honolulu’	2.15	0.3	1.4	1	4	5	0	0	0	0	0	0
‘Houston’	1	0.15	1.1	1	5	6	2.85	0.3	2.2	1	7	6
‘Indianapolis’	1.25	0.27	1.1	1	0	5	2.85	0.35	1.95	1	0	5
‘Inland Empire’	1.61	0.29	1.25	1	4	5	0	0	0	0	0	0
‘Jacksonville’	1	0.2	1.3	1	5	5	3.85	0.45	1.45	1	7	5
‘Kalamazoo’	2.8	0.2	1.6	1	6	5	0	0	0	0	0	0
‘Kansas City’	1.55	0.25	1.2	1	5	5	0	0	0	0	0	0
‘Knoxville’	2.2	0.2	1.25	1	4	5	0	0	0	0	0	0
‘Lansing’	2.8	0.2	1.6	1	6	5	4	0.3	2.6	1	7	7
‘Las Vegas’	2.4	0.3	1.85	1	5	5	0	0	0	0	0	0
‘Lexington’	2.5	0.3	1.4	1	5	5	0	0	0	0	0	0
‘Lincoln’	0	0.3	1.35	1	4	5	0	0	0	0	0	0
‘Los Angeles’	0.8	0.21	1.1	1	4	5	3	0.35	1.85	1	7	5
‘Louisville’	1.3	0.2	1.15	1	5	5	0	0	0	0	0	0
‘Lubbock’	1.9	0.25	1.75	1	5.7	5	0	0	0	0	0	0
‘Madison’	1.75	0.3	1.25	1	6	5	2.85	0.35	1.95	1	7	5
‘Manchester, NH’	1.75	0.23	2	1	5	5	0	0	0	0	0	0
‘Memphis’	0.8	0.2	1.35	1	4	5	0	0	0	0	0	0
‘Miami’	1.2	0.2	1.25	1	5	5	2.25	0.3	2.25	1	7	5
‘Milwaukee’	1.75	0.22	1.1	1	5	5	2.85	0.35	1.95	1	7	5
‘Minneapolis’	0.6	0.23	1.65	1	6	5	3.5	0.3	2.95	1	7	5
‘Modesto’	2	0.25	1.7	1	6	5	3.7	0.35	2.6	1	7	5
‘Montreal’	2.75	0.4	0.9	1	5	5	0	0	0	0	0	0
‘Myrtle Beach’	1.95	0.2	1.75	1	4	5	0	0	0	0	0	0
‘Nashville’	1.6	0.16	1.05	1	4	5	4	0.3	1.8	1	7	5
‘New Jersey’	1.25	0.18	1.1	1	5	5	0	0	0	0	0	0
‘New Jersey (Shore)’	5	0.3	2.7	1	12	10	0	0	0	0	0	0
‘New Orleans’	0	0	0	0	0	0	0	0	0	0	0	0
‘New York City’	3	0.4	2.15	0	8	10	4.5	0.6	3.25	0	12	10
‘Oklahoma City’	1.75	0.18	1.45	1	5	5	3.3	0.35	2.5	1	7	5
‘Omaha’	0.5	0.45	1.65	1	4	5	0	0	0	0	0	0
‘Orange County’	0.8	0.21	1.1	1	4	5	3	0.35	1.85	1	7	5
‘Orlando’	1.25	0.13	1.2	1	4	5	3	0.3	2.15	1	7	5
‘Oxford’	2	0.25	1.9	1	5	5	0	0	0	0	0	0
‘Palm Springs’	3	0.2	2	0	6	5	0	0	0	0	0	0
‘Philadelphia’	3	0.3	2.25	1	7	10	0	0	0	0	0	0
‘Phoenix’	2	0.2	1.2	1	4	10	4	0.25	2.45	1	5.9	10
‘Piedmont Triad, NC’	1.95	0.2	1.5	1	4	4	0	0	0	0	0	0
‘Pittsburgh’	2	0.3	1.25	1	5	5	0	0	0	0	0	0
‘Portland, ME’	1.75	0.23	2	1	5	5	0	0	0	0	0	0
‘Providence’	1.5	0.2	1.2	1	5	10	3	0.25	2.4	1	7	10
‘Raleigh-Durham’	1.55	0.2	1.2	1	4	4	3.4	0.3	2.25	1	7	5
‘Reno’	2.4	0.3	1.85	1	5	5	0	0	0	0	0	0
‘Richmond, VA’	1.5	0.2	1.6	1	5	5	0	0	0	0	0	0
‘Roanoke-Blacksburg’	2.75	0.25	1.5	1	5	5	0	0	0	0	0	0
‘Sacramento’	1.7	0.2	1.3	1	5	5	4	0.35	2.8	1	7	5
‘Salem’	3	0.3	1.75	1	6	5	0	0	0	0	0	0
‘Salt Lake City’	1.15	0.18	1.4	1	4	5	0	0	0	0	0	0
‘San Antonio’	1.6	0.22	1.5	1	5	6	3	0.35	2.75	1	7	6
‘San Diego’	2.1	0.2	1.25	1	4	5	2.85	0.25	2.65	1	7	5
‘San Francisco’	2.2	0.26	1.3	1	5	5	5	0.45	2.15	1	8	5
‘San Luis Obispo’	3	0.15	2.45	1	5	5	0	0	0	0	0	0
‘Santa Barbara’	3	0.25	1.8	1	6	5	0	0	0	0	0	0
‘Seattle’	1.35	0.24	1.35	1	4	5	3	0.3	2.75	1	6	5
‘South Bend’	1.9	0.25	1.25	1	0	5	0	0	0	0	0	0
‘Spokane’	1.5	0.35	1.65	1	5	5	0	0	0	0	0	0
‘St Louis’	0	0	0	0	0	0	0	0	0	0	0	0
‘Tacoma’	1.35	0.24	1.35	1	4	5	0	0	0	0	0	0
‘Tallahassee’	2	0.15	1.5	1	4	5	0	0	0	0	0	0
‘Tampa’	1.25	0.13	1.2	1	4	5	3	0.3	2.15	1	7	5
‘Toledo’	1	0.3	1.5	1	4	5	0	0	0	0	0	0
‘Toronto’	2.75	0.3	0.9	1	2.75	5	5	0.35	1.55	1	5	5
‘Tucson’	1.75	0.18	1.7	1	4	10	3.5	0.3	2.75	1	6	10
‘Tulsa’	1.75	0.18	1.45	1	5	5	3.3	0.35	2.5	1	7	5
‘Tuscaloosa’	1.5	0.2	1.6	1	5	5	0	0	0	0	0	0
‘Vancouver, Wa’	1.5	0.3	1.55	1	5	5	0	0	0	0	0	0
‘Ventura’	1.61	0.29	1.25	1	4	5	0	0	0	0	0	0
‘Waco’	1.9	0.25	1.75	1	5.7	5	0	0	0	0	0	0
‘Washington D.C.’	2	0.25	1.25	1	5	5	4	0.35	2.5	1	7	5
‘Wichita’	2	0.2	1.65	1	5	5	0	0	0	0	0	0
‘Wilmington, NC’	1.95	0.2	1.5	1	4	4	0	0	0	0	0	0
‘Worcester’	2	0.21	1.2	1	5	10	0	0	0	0	0	0