How many people speak "Nepali " 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 "Nepali", as defined by the U.S. Census Bureau.

Nepali speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	94,220	4,413	56,650	3,282

Nepali speakers by U.S. state

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

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Texas	11,735	1,260	6,490	921
New York	9,015	1,213	5,750	956
California	7,165	1,102	3,925	720
Virginia	6,305	1,103	3,105	710
Massachusetts	5,415	1,033	2,375	558
Pennsylvania	4,720	909	3,610	832
Maryland	4,240	849	2,170	479
Colorado	3,615	831	2,095	649
Georgia	3,345	837	2,330	718
Illinois	3,135	819	1,885	485
Michigan	2,405	541	1,625	458
Washington	2,385	669	1,575	502
North Carolina	2,260	617	1,440	518
Ohio	2,130	688	1,640	589
New Hampshire	1,990	562	1,550	461
Utah	1,985	678	1,405	487
Kentucky	1,855	579	1,185	485
Minnesota	1,675	447	930	355
Florida	1,525	646	760	490
Connecticut	1,325	412	615	256
Missouri	1,290	411	685	297
Tennessee	1,185	466	930	420
Nebraska	1,110	463	715	378
Arizona	1,085	498	765	398
Oregon	1,045	492	885	468
Nevada	1,030	463	750	382
Idaho	890	433	715	402
New Jersey	805	269	380	165
Wisconsin	795	415	520	387
Vermont	790	340	570	238
Iowa	720	374	430	231
Kansas	685	263	240	142
Rhode Island	575	415	350	330
Alabama	555	274	225	173
South Dakota	480	295	370	215
Louisiana	340	187	185	118
Arkansas	320	167	205	113
West Virginia	305	154	165	115
Alaska	300	309	190	193
South Carolina	270	224	265	223
North Dakota	260	157	190	155
Indiana	245	176	160	110
Oklahoma	245	156	50	51
New Mexico	155	107	65	52
Delaware	115	105	(D)	(D)
Mississippi	110	83	80	91
Hawaii	100	77	30	33
Wyoming	90	88	55	57
District of Columbia	85	74	(D)	(D)
Puerto Rico	15	17	15	17
Maine	(D)	(D)	(B)	-
Montana	(D)	(D)	(B)	-

Nepali speakers by U.S county

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

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Queens County [NY]	4,650	965	2,960	738
Harris County [TX]	3,125	653	1,720	420
Fairfax County [VA]	2,825	692	1,475	463
Dallas County [TX]	2,675	559	1,355	440
Tarrant County [TX]	2,490	740	1,770	669
DeKalb County [GA]	2,430	764	1,995	700
Montgomery County [MD]	2,120	629	735	266
Middlesex County [MA]	2,040	642	620	259
King County [WA]	1,945	665	1,430	509
Salt Lake County [UT]	1,815	668	1,280	480
Los Angeles County [CA]	1,770	583	1,020	425
Cook County [IL]	1,580	714	975	430
Alameda County [CA]	1,470	463	865	301
Allegheny County [PA]	1,415	498	1,100	477
Onondaga County [NY]	1,245	422	930	308
Hillsborough County [NH]	1,145	430	930	347
Worcester County [MA]	960	551	555	290
Davidson County [TN]	945	409	805	388
Arapahoe County [CO]	870	404	405	244
Jefferson County [KY]	850	421	600	382
Wake County [NC]	825	465	345	302
Hampden County [MA]	820	395	720	368
Suffolk County [MA]	805	341	135	139
Ramsey County [MN]	800	343	615	316
Clark County [NV]	780	423	585	358
Maricopa County [AZ]	770	443	525	332
Baltimore County [MD]	760	341	475	238
Baltimore city [MD]	750	340	595	293
Monroe County [NY]	725	465	685	446
Erie County [NY]	720	348	425	229
DuPage County [IL]	705	363	420	237
Mecklenburg County [NC]	685	357	605	338
Denver County [CO]	675	408	495	378
Philadelphia County [PA]	660	401	550	383
Bexar County [TX]	655	402	290	223
Santa Clara County [CA]	640	254	280	190
Contra Costa County [CA]	620	343	405	226
Duval County [FL]	620	534	460	473
Providence County [RI]	575	415	350	330
Prince William County [VA]	575	341	235	214
Sacramento County [CA]	570	305	320	185
Denton County [TX]	570	243	195	102
Hartford County [CT]	525	241	225	141
Polk County [IA]	495	327	350	216
Multnomah County [OR]	485	289	365	255
Kings County [NY]	460	250	340	204
Guilford County [NC]	460	273	360	229
Travis County [TX]	435	205	180	125
Arlington County [VA]	435	316	210	179
Cuyahoga County [OH]	420	300	295	224
Washington County [OR]	390	341	365	340
Collin County [TX]	385	294	215	185
St. Louis County [MO]	380	247	55	61
Fairfield County [CT]	365	259	260	215
El Paso County [CO]	340	389	300	362
Franklin County [OH]	335	242	265	233
Pima County [AZ]	315	194	240	165
Sonoma County [CA]	315	222	135	141
Anchorage Municipality [AK]	300	309	190	193
Hamilton County [OH]	295	338	255	297
Essex County [MA]	285	206	195	178
San Mateo County [CA]	275	160	105	86
Bronx County [NY]	270	211	220	193
Loudoun County [VA]	270	296	120	204
Dane County [WI]	270	227	230	221
Milwaukee County [WI]	265	335	255	334
New Haven County [CT]	255	204	110	85
Prince George s County [MD]	255	203	130	115
Oakland County [MI]	255	164	160	111
New York County [NY]	255	149	70	66
Dakota County [MN]	250	151	110	98
Lancaster County [PA]	250	194	205	165
Fulton County [GA]	240	181	50	54
Orange County [CA]	235	180	155	142
Henrico County [VA]	230	227	80	125
Cobb County [GA]	220	186	40	53
Johnson County [KS]	210	125	55	51
Hennepin County [MN]	205	120	100	89
San Francisco County [CA]	200	127	130	93
Yolo County [CA]	190	170	85	89
Norfolk County [MA]	190	120	15	29
Washoe County [NV]	180	137	135	117
Hudson County [NJ]	180	89	50	51
Kane County [IL]	165	153	65	93
Nassau County [NY]	145	130	(B)	-
Delaware County [PA]	145	113	35	38
Wayne County [MI]	140	104	45	61
Camden County [NJ]	140	137	105	120
Union County [NJ]	140	162	110	133
Lake County [IL]	135	116	85	83
Westchester County [NY]	135	88	(B)	-
Anne Arundel County [MD]	125	113	105	106
Ventura County [CA]	120	104	90	87
Oklahoma County [OK]	120	133	(B)	-
Fort Bend County [TX]	120	110	(D)	(D)
Riverside County [CA]	115	127	85	93
New Castle County [DE]	115	105	(D)	(D)
Pinellas County [FL]	115	160	(D)	(D)
Gwinnett County [GA]	115	116	80	93
Monterey County [CA]	105	94	(D)	(D)
Honolulu County [HI]	100	77	30	33
Albany County [NY]	95	108	(B)	-
Montgomery County [PA]	95	110	35	45
Lee County [FL]	90	138	(D)	(D)
District of Columbia [DC]	85	74	(D)	(D)
Hillsborough County [FL]	85	87	50	61
Palm Beach County [FL]	85	100	(D)	(D)
Somerset County [NJ]	85	114	(D)	(D)
Clark County [WA]	85	97	(D)	(D)
Plymouth County [MA]	80	72	35	39
Bergen County [NJ]	80	71	(D)	(D)
Shelby County [TN]	80	71	(D)	(D)
Orange County [FL]	75	67	45	42
San Joaquin County [CA]	70	114	70	114
Howard County [MD]	70	65	30	47
Middlesex County [NJ]	70	63	(D)	(D)
Bernalillo County [NM]	70	82	(D)	(D)
San Diego County [CA]	65	61	(D)	(D)
Stanislaus County [CA]	60	100	(D)	(D)
San Bernardino County [CA]	55	44	(D)	(D)
Macomb County [MI]	50	113	30	53
Snohomish County [WA]	45	71	(D)	(D)
Richmond County [NY]	40	51	(D)	(D)
Solano County [CA]	35	69	(B)	-
Chester County [PA]	35	35	(D)	(D)
Bristol County [MA]	25	31	(D)	(D)
Atlantic County [NJ]	25	102	4	27
Placer County [CA]	20	35	20	35
Marion County [IN]	20	49	(D)	(D)
Morris County [NJ]	20	39	(D)	(D)
Washtenaw County [MI]	15	24	(B)	-
Broward County [FL]	(D)	(D)	(B)	-
Miami-Dade County [FL]	(D)	(D)	(B)	-
Will County [IL]	(D)	(D)	(D)	(D)
Rockland County [NY]	(D)	(D)	(D)	(D)
Virginia Beach city [VA]	(D)	(D)	(B)	-

Nepali speakers by U.S city / urban area

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

City / Metropolitan area / CBSA	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Washington-Arlington-Alexandria [DC-VA-MD-WV]	7,155	1,254	3,265	724
New York-Newark-Jersey City [NY]	6,605	1,018	3,855	774
Dallas-Fort Worth-Arlington [TX]	6,155	984	3,565	805
Boston-Cambridge-Newton [MA-NH]	3,420	779	1,000	358
Houston-The Woodlands-Sugar Land [TX]	3,305	665	1,790	429
Atlanta-Sandy Springs-Roswell [GA]	3,070	824	2,175	719
Chicago-Naperville-Elgin [IL-IN]	2,625	805	1,565	472
San Francisco-Oakland-Hayward [CA]	2,590	647	1,515	390
Denver-Aurora-Lakewood [CO]	2,390	628	1,425	508
Los Angeles-Long Beach-Anaheim [CA]	2,005	565	1,175	400
Seattle-Tacoma-Bellevue [WA]	1,995	670	1,440	511
Salt Lake City [UT]	1,815	668	1,280	480
Baltimore-Columbia-Towson [MD]	1,770	526	1,230	395
Pittsburgh [PA]	1,485	507	1,150	480
Minneapolis-St. Paul-Bloomington [MN-WI]	1,370	375	840	335
Syracuse [NY]	1,245	422	930	308
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD]	1,190	433	750	398
Manchester-Nashua [NH]	1,145	430	930	347
Portland-Vancouver-Hillsboro [OR-WA]	1,100	475	870	459
Omaha-Council Bluffs [NE-IA]	985	445	710	380
St. Louis [MO-IL]	985	366	560	281
Nashville-Davidson-Murfreesboro-Franklin [TN]	975	413	820	390
Worcester [MA-CT]	960	551	555	290
Lansing-East Lansing [MI]	945	433	770	379
Springfield [MA]	910	422	720	368
Louisville Jefferson County [KY]	850	421	600	382
Raleigh [NC]	825	465	345	302
Akron [OH]	800	397	680	359
Las Vegas-Henderson-Paradise [NV]	780	423	585	358
Sacramento-Roseville-Arden-Arcade [CA]	780	364	420	218
Phoenix-Mesa-Scottsdale [AZ]	770	443	525	332
Grand Rapids-Wyoming [MI]	760	340	590	268
Buffalo-Cheektowaga-Niagara Falls [NY]	730	346	430	230
Rochester [NY]	725	465	685	446
Charlotte-Concord-Gastonia [NC-SC]	720	362	625	339
Hartford-West Hartford-East Hartford [CT]	690	318	235	141
Jacksonville [FL]	690	536	480	471
San Antonio-New Braunfels [TX]	655	402	290	223
San Jose-Sunnyvale-Santa Clara [CA]	640	254	280	190
Harrisburg-Carlisle [PA]	600	329	510	321
Providence-Warwick [RI-MA]	600	418	370	334
Austin-Round Rock [TX]	535	232	180	125
Des Moines-West Des Moines [IA]	495	327	350	216
Richmond [VA]	495	330	155	175
Cleveland-Elyria [OH]	460	302	325	227
Greensboro-High Point [NC]	460	273	360	229
Detroit-Warren-Dearborn [MI]	445	217	235	138
Kansas City [MO-KS]	440	197	220	120
Bridgeport-Stamford-Norwalk [CT]	365	259	260	215
Cincinnati [OH-KY-IN]	360	344	295	300
Virginia Beach-Norfolk-Newport News [VA-NC]	360	227	190	164
Colorado Springs [CO]	340	389	300	362
Columbus [OH]	335	242	265	233
Santa Rosa [CA]	315	222	135	141
Tucson [AZ]	315	194	240	165
Anchorage [AK]	300	309	190	193
Milwaukee-Waukesha-West Allis [WI]	290	337	265	334
Madison [WI]	270	227	230	221
Tampa-St. Petersburg-Clearwater [FL]	265	197	115	85
New Haven-Milford [CT]	255	204	110	85
Lancaster [PA]	250	194	205	165
Miami-Fort Lauderdale-West Palm Beach [FL]	185	183	(D)	(D)
Reno [NV]	180	137	135	117
Riverside-San Bernardino-Ontario [CA]	170	127	95	93
Baton Rouge [LA]	135	105	90	86
Oklahoma City [OK]	135	135	(B)	-
Oxnard-Thousand Oaks-Ventura [CA]	120	104	90	87
Spokane-Spokane Valley [WA]	110	78	100	79
Albuquerque [NM]	105	102	(D)	(D)
Salinas [CA]	105	94	(D)	(D)
Albany-Schenectady-Troy [NY]	100	109	(B)	-
Orlando-Kissimmee-Sanford [FL]	100	79	45	42
Urban Honolulu [HI]	100	77	30	33
Cape Coral-Fort Myers [FL]	90	138	(D)	(D)
Allentown-Bethlehem-Easton [PA-NJ]	85	83	(B)	-
Memphis [TN-MS-AR]	80	71	(D)	(D)
Indianapolis-Carmel-Anderson [IN]	75	71	55	50
Stockton-Lodi [CA]	70	114	70	114
San Diego-Carlsbad [CA]	65	61	(D)	(D)
Modesto [CA]	60	100	(D)	(D)
Vallejo-Fairfield [CA]	35	69	(B)	-
Dayton [OH]	30	34	(B)	-
New Orleans-Metairie [LA]	30	28	(B)	-
Atlantic City-Hammonton [NJ]	25	102	4	27
Ann Arbor [MI]	15	24	(B)	-
Deltona-Daytona Beach-Ormond Beach [FL]	(D)	(D)	(B)	-
Durham-Chapel Hill [NC]	(D)	(D)	(D)	(D)
Lafayette [LA]	(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.