How many people speak "Nilo-Hamitic " 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 "Nilo-Hamitic", as defined by the U.S. Census Bureau.

Nilo-Hamitic speakers in the United States

CountryNumber of speakersMargin of ErrorSpeak English less than "Very Well"Margin of Error
United States1,275644575327



Nilo-Hamitic speakers by U.S. state

What U.S. states have the most nilo-hamitic speakers?
StateNumber of speakersMargin of ErrorSpeak English less than "Very Well"Margin of Error
Virginia440509150211
Michigan180213180213
Minnesota170149(B)-
Maine160196(D)(D)
New York65921533
Texas3537(B)-
Tennessee30151(D)(D)
Indiana(D)(D)(B)-
Iowa(D)(D)(D)(D)
Massachusetts(D)(D)(D)(D)
Missouri(D)(D)(D)(D)
Pennsylvania(D)(D)(D)(D)
Utah(D)(D)(D)(D)



Nilo-Hamitic speakers by U.S county

What counties in the United States have the most nilo-hamitic speakers?
CountyNumber of speakersMargin of ErrorSpeak English less than "Very Well"Margin of Error
Henrico County [VA]345502145211
New York County [NY]55921533
Fairfax County [VA]4051(B)-
Bexar County [TX]45(B)-
Polk County [IA](D)(D)(D)(D)
Middlesex County [MA](D)(D)(D)(D)
Hennepin County [MN](D)(D)(B)-
Erie County [NY](D)(D)(B)-
Chester County [PA](D)(D)(D)(D)
Collin County [TX](D)(D)(B)-
Harris County [TX](D)(D)(B)-
Salt Lake County [UT](D)(D)(D)(D)



Nilo-Hamitic speakers by U.S city / urban area

What cities in the United States have the most nilo-hamitic speakers?
City / Metropolitan area / CBSANumber of speakersMargin of ErrorSpeak English less than "Very Well"Margin of Error
Richmond [VA]345502145211
Lansing-East Lansing [MI]180213180213
Portland-South Portland [ME]160196(D)(D)
New York-Newark-Jersey City [NY]55921533
Washington-Arlington-Alexandria [DC-VA-MD-WV]4051(B)-
Nashville-Davidson-Murfreesboro-Franklin [TN]30151(D)(D)
San Antonio-New Braunfels [TX]45(B)-
Boston-Cambridge-Newton [MA-NH](D)(D)(D)(D)
Buffalo-Cheektowaga-Niagara Falls [NY](D)(D)(B)-
Dallas-Fort Worth-Arlington [TX](D)(D)(B)-
Des Moines-West Des Moines [IA](D)(D)(D)(D)
Houston-The Woodlands-Sugar Land [TX](D)(D)(B)-
Minneapolis-St. Paul-Bloomington [MN-WI](D)(D)(B)-
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD](D)(D)(D)(D)
Salt Lake City [UT](D)(D)(D)(D)
Virginia Beach-Norfolk-Newport News [VA-NC](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.


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