How many people speak "Carolinian " in America

Language category: ASIAN AND PACIFIC ISLAND LANGUAGES Language sub-category: Other Pacific Island 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 "Carolinian", as defined by the U.S. Census Bureau.

Carolinian speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	945	389	545	310

Carolinian speakers by U.S. state

What U.S. states have the most carolinian speakers?

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Arizona	185	189	120	157
Florida	165	162	135	154
Hawaii	145	208	130	207
Texas	125	151	(D)	(D)
North Carolina	70	107	(D)	(D)
Oregon	70	75	(D)	(D)
Washington	65	73	25	31
Pennsylvania	45	49	(B)	-
Alaska	(D)	(D)	(B)	-
California	(D)	(D)	(D)	(D)
New York	(D)	(D)	(D)	(D)

Carolinian speakers by U.S county

What counties in the United States have the most carolinian speakers?

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Maricopa County [AZ]	170	187	120	157
Duval County [FL]	135	156	115	150
Honolulu County [HI]	130	207	130	207
Pierce County [WA]	40	50	(D)	(D)
Clark County [WA]	25	37	(D)	(D)
Hawaii County [HI]	15	22	(B)	-
Sacramento County [CA]	(D)	(D)	(D)	(D)
Broward County [FL]	(D)	(D)	(B)	-
Maui County [HI]	(D)	(D)	(B)	-
Multnomah County [OR]	(D)	(D)	(B)	-
Washington County [OR]	(D)	(D)	(B)	-
Delaware County [PA]	(D)	(D)	(B)	-
Dallas County [TX]	(D)	(D)	(D)	(D)

Carolinian speakers by U.S city / urban area

What cities in the United States have the most carolinian speakers?

City / Metropolitan area / CBSA	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Phoenix-Mesa-Scottsdale [AZ]	170	187	120	157
Jacksonville [FL]	135	156	115	150
Urban Honolulu [HI]	130	207	130	207
Seattle-Tacoma-Bellevue [WA]	40	50	(D)	(D)
Portland-Vancouver-Hillsboro [OR-WA]	35	41	(D)	(D)
Hilo [HI]	15	22	(B)	-
Anchorage [AK]	(D)	(D)	(B)	-
Buffalo-Cheektowaga-Niagara Falls [NY]	(D)	(D)	(D)	(D)
Dallas-Fort Worth-Arlington [TX]	(D)	(D)	(D)	(D)
Kahului-Wailuku-Lahaina [HI]	(D)	(D)	(B)	-
Miami-Fort Lauderdale-West Palm Beach [FL]	(D)	(D)	(B)	-
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD]	(D)	(D)	(B)	-
Sacramento-Roseville-Arden-Arcade [CA]	(D)	(D)	(D)	(D)

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.

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