How many people speak "Rajasthani " in America

Language category: OTHER INDO-EUROPEAN LANGUAGES Language sub-category: Other Indic 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 "Rajasthani", as defined by the U.S. Census Bureau.

Rajasthani speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	715	420	215	142

Rajasthani speakers by U.S. state

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

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Texas	195	280	4	19
New York	135	178	(B)	-
North Carolina	95	99	95	99
Colorado	85	130	(D)	(D)
California	45	56	(D)	(D)
Virginia	45	56	(D)	(D)
Illinois	35	45	(B)	-
Arizona	(D)	(D)	(B)	-
Georgia	(D)	(D)	(D)	(D)
Massachusetts	(D)	(D)	(B)	-
Michigan	(D)	(D)	(B)	-
Rhode Island	(D)	(D)	(B)	-

Rajasthani speakers by U.S county

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

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Dallas County [TX]	185	272	(B)	-
Queens County [NY]	120	175	(B)	-
Guilford County [NC]	95	99	95	99
El Paso County [CO]	85	130	(D)	(D)
Fairfax County [VA]	45	56	(D)	(D)
DuPage County [IL]	25	44	(B)	-
Harris County [TX]	10	36	4	19
Maricopa County [AZ]	(D)	(D)	(B)	-
Alameda County [CA]	(D)	(D)	(B)	-
San Mateo County [CA]	(D)	(D)	(D)	(D)
Fulton County [GA]	(D)	(D)	(D)	(D)
Cook County [IL]	(D)	(D)	(B)	-
Lake County [IL]	(D)	(D)	(B)	-
Suffolk County [NY]	(D)	(D)	(B)	-
Providence County [RI]	(D)	(D)	(B)	-

Rajasthani speakers by U.S city / urban area

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

City / Metropolitan area / CBSA	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Dallas-Fort Worth-Arlington [TX]	185	272	(B)	-
New York-Newark-Jersey City [NY]	135	178	(B)	-
Greensboro-High Point [NC]	95	99	95	99
Colorado Springs [CO]	85	130	(D)	(D)
San Francisco-Oakland-Hayward [CA]	45	56	(D)	(D)
Washington-Arlington-Alexandria [DC-VA-MD-WV]	45	56	(D)	(D)
Chicago-Naperville-Elgin [IL-IN]	35	45	(B)	-
Houston-The Woodlands-Sugar Land [TX]	10	36	4	19
Atlanta-Sandy Springs-Roswell [GA]	(D)	(D)	(D)	(D)
Grand Rapids-Wyoming [MI]	(D)	(D)	(B)	-
Phoenix-Mesa-Scottsdale [AZ]	(D)	(D)	(B)	-
Providence-Warwick [RI-MA]	(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.