How many people speak "Mbum (and Related) " in America

Language category: ALL OTHER LANGUAGES Language sub-category: African languages

In October 2015, the U.S. Census Bureau released the "2009-2013 American Community Survey" which provides information on "languages spoken at home" and "ability to speak English for the Population 5 Years and Over" for the United States as a whole, states including Puerto Rico and Washington D.C., selected counties, and selected cities and urban areas. The following provides aggregated survey information on people who speak "Mbum (and Related)", as defined by the U.S. Census Bureau.

Mbum (and Related) speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	715	353	370	269

Mbum (and Related) speakers by U.S. state

What U.S. states have the most mbum (and related) speakers?

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Maine	160	163	130	153
Iowa	110	160	(D)	(D)
Georgia	100	186	100	186
Maryland	80	93	(D)	(D)
North Carolina	40	65	40	65
Virginia	25	82	(D)	(D)
Arizona	(D)	(D)	(B)	-
California	(D)	(D)	(B)	-
District of Columbia	(D)	(D)	(B)	-
Illinois	(D)	(D)	(B)	-
New York	(D)	(D)	(B)	-
Ohio	(D)	(D)	(D)	(D)
Pennsylvania	(D)	(D)	(B)	-
Texas	(D)	(D)	(B)	-
Washington	(D)	(D)	(D)	(D)

Mbum (and Related) speakers by U.S county

What counties in the United States have the most mbum (and related) speakers?

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Polk County [IA]	110	160	(D)	(D)
DeKalb County [GA]	100	186	100	186
Montgomery County [MD]	45	55	(D)	(D)
Guilford County [NC]	40	65	40	65
Maricopa County [AZ]	(D)	(D)	(B)	-
Fresno County [CA]	(D)	(D)	(B)	-
Los Angeles County [CA]	(D)	(D)	(B)	-
District of Columbia [DC]	(D)	(D)	(B)	-
Baltimore city [MD]	(D)	(D)	(B)	-
Westchester County [NY]	(D)	(D)	(B)	-
Hamilton County [OH]	(D)	(D)	(D)	(D)

Mbum (and Related) speakers by U.S city / urban area

What cities in the United States have the most mbum (and related) speakers?

City / Metropolitan area / CBSA	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Portland-South Portland [ME]	160	163	130	153
Des Moines-West Des Moines [IA]	110	160	(D)	(D)
Atlanta-Sandy Springs-Roswell [GA]	100	186	100	186
Washington-Arlington-Alexandria [DC-VA-MD-WV]	75	95	45	55
Greensboro-High Point [NC]	40	65	40	65
Baltimore-Columbia-Towson [MD]	(D)	(D)	(B)	-
Cincinnati [OH-KY-IN]	(D)	(D)	(D)	(D)
Fresno [CA]	(D)	(D)	(B)	-
Houston-The Woodlands-Sugar Land [TX]	(D)	(D)	(B)	-
Los Angeles-Long Beach-Anaheim [CA]	(D)	(D)	(B)	-
New York-Newark-Jersey City [NY]	(D)	(D)	(B)	-
Phoenix-Mesa-Scottsdale [AZ]	(D)	(D)	(B)	-

Notes

Number of speakers and Speak English less than "Very Well": Detailed-language estimates are rounded to the nearest multiple of five. Aggregate estimates ("language category" and "language sub-category" entries) are unrounded and appear in table B16001. Detailed-language estimates may not sum to aggregate estimates because of rounding.
Margin of Error and Margin of Error: Data are based on a sample and are subject to sampling variability. The degree of uncertainty for an estimate arising from sampling variability is represented through the use of a margin of error. The value shown here is the 90 percent margin of error. The margin of error can be interpreted roughly as providing a 90 percent probability that the interval defined by the estimate minus the margin of error and the estimate plus the margin of error (the lower and upper confidence bounds) contains the true value. In addition to sampling variability, the ACS estimates are subject to nonsampling error (for a discussion of nonsampling variability, see Accuracy of the Data. The effect of nonsampling error is not represented in these tables.
(D): Data withheld to avoid disclosure.
(B): Either no sample observations or too few sample observations were available to compute an estimate.
(X): Question does not apply.
-: Either no sample observations or too few sample observations were available to compute a standard error and thus the margin of error. A statistical test is not appropriate.