How many people speak "Hindi " in America

Language category: OTHER INDO-EUROPEAN 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 "Hindi", as defined by the U.S. Census Bureau.

Hindi speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	643,337	9,342	132,631	3,943

Hindi speakers by U.S. state

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

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
California	149,301	4,735	29,614	1,830
New Jersey	63,342	2,612	13,820	1,257
Texas	59,602	2,942	12,165	1,266
New York	58,591	2,661	14,864	1,077
Illinois	37,982	2,000	9,678	928
Virginia	25,121	1,774	4,391	705
Georgia	21,744	2,003	5,083	866
Pennsylvania	21,108	1,658	4,533	641
Florida	19,848	1,889	4,457	713
Massachusetts	18,845	1,461	3,370	606
Michigan	16,340	1,393	3,378	501
Maryland	16,192	1,611	2,558	537
Ohio	16,159	1,475	2,606	537
Washington	15,528	1,360	2,784	431
North Carolina	13,048	1,270	2,174	509
Connecticut	11,430	1,173	2,561	640
Arizona	8,474	1,145	978	293
Indiana	7,225	1,061	1,762	485
Minnesota	6,998	918	1,109	288
Tennessee	5,122	714	1,233	371
Wisconsin	4,831	622	907	261
Oregon	4,783	700	701	270
Colorado	4,171	563	623	209
Missouri	3,999	645	402	130
Alabama	3,236	593	885	299
Kansas	2,919	534	275	128
Iowa	2,628	485	924	238
Nevada	2,435	573	894	390
Kentucky	2,429	494	445	176
South Carolina	2,113	388	450	176
Oklahoma	1,899	413	273	117
Delaware	1,895	545	416	213
Louisiana	1,860	478	327	166
New Hampshire	1,618	412	278	164
Arkansas	1,413	523	433	225
District of Columbia	1,245	338	148	97
Nebraska	1,238	347	230	165
Utah	1,127	307	193	111
New Mexico	1,038	324	148	108
Mississippi	978	253	134	102
Rhode Island	879	252	58	46
Maine	496	197	12	18
Hawaii	410	159	171	117
West Virginia	366	133	49	46
Idaho	296	151	31	21
Alaska	290	190	(B)	-
North Dakota	262	149	44	47
South Dakota	253	137	36	42
Vermont	123	79	4	8
Puerto Rico	111	86	68	68
Montana	78	76	22	39
Wyoming	29	53	(B)	-

Hindi speakers by U.S county

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

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Santa Clara County [CA]	31,006	2,099	3,750	590
Alameda County [CA]	26,535	1,849	4,590	691
Los Angeles County [CA]	21,827	1,664	5,356	960
Middlesex County [NJ]	20,622	1,359	4,219	723
Cook County [IL]	20,180	1,398	6,224	882
Queens County [NY]	19,441	1,706	7,016	797
Harris County [TX]	15,148	1,397	4,035	756
Hudson County [NJ]	13,378	1,025	3,947	605
Sacramento County [CA]	13,006	1,277	3,700	650
King County [WA]	12,043	1,121	1,917	325
Fairfax County [VA]	11,776	1,349	1,982	508
Orange County [CA]	10,610	1,251	2,015	464
Middlesex County [MA]	9,947	937	1,787	455
Nassau County [NY]	9,483	1,026	2,258	372
Dallas County [TX]	8,458	905	1,368	326
Fort Bend County [TX]	7,840	1,487	1,424	526
New York County [NY]	7,643	977	513	240
Montgomery County [MD]	7,551	974	928	274
Collin County [TX]	7,234	1,002	1,647	647
Maricopa County [AZ]	7,121	1,009	889	279
DuPage County [IL]	6,848	874	1,419	366
Oakland County [MI]	6,693	834	1,230	288
San Diego County [CA]	6,425	1,019	1,610	562
Fulton County [GA]	6,260	898	835	310
San Mateo County [CA]	6,216	884	1,147	334
Bergen County [NJ]	5,889	781	1,049	248
Contra Costa County [CA]	5,650	944	1,136	350
Loudoun County [VA]	5,090	768	873	315
Somerset County [NJ]	4,684	748	692	242
Wake County [NC]	4,595	895	714	325
Gwinnett County [GA]	4,576	1,022	1,029	359
Mecklenburg County [NC]	4,502	816	1,021	391
Morris County [NJ]	4,475	683	954	380
Montgomery County [PA]	4,187	777	1,060	367
Travis County [TX]	4,135	705	704	281
Fairfield County [CT]	4,075	650	743	302
Hennepin County [MN]	4,033	600	742	268
Hartford County [CT]	3,944	702	959	411
Stanislaus County [CA]	3,647	792	950	285
Franklin County [OH]	3,617	749	834	384
San Francisco County [CA]	3,545	706	471	237
Tarrant County [TX]	3,543	616	761	269
Suffolk County [NY]	3,532	577	1,162	378
Mercer County [NJ]	3,433	692	506	277
Cuyahoga County [OH]	3,298	554	435	172
Riverside County [CA]	3,243	804	759	242
Broward County [FL]	3,105	685	800	334
Allegheny County [PA]	3,035	509	468	139
Wayne County [MI]	2,943	538	792	222
Kings County [NY]	2,925	520	933	278
Philadelphia County [PA]	2,897	565	588	261
Westchester County [NY]	2,841	487	485	221
Orange County [FL]	2,686	878	553	250
DeKalb County [GA]	2,653	599	762	303
Cobb County [GA]	2,607	630	692	285
Bexar County [TX]	2,540	537	465	228
Worcester County [MA]	2,521	506	546	209
Lake County [IL]	2,515	466	274	140
Washington County [OR]	2,475	477	275	166
Hillsborough County [FL]	2,400	602	313	143
Denton County [TX]	2,314	506	485	206
San Joaquin County [CA]	2,287	627	475	185
Norfolk County [MA]	2,264	584	322	158
San Bernardino County [CA]	2,233	649	557	335
Ventura County [CA]	2,221	557	420	193
Prince George s County [MD]	2,187	613	295	171
Will County [IL]	2,184	489	400	163
Johnson County [KS]	2,129	436	180	105
Henrico County [VA]	2,127	466	429	279
Hamilton County [OH]	2,094	356	386	166
Howard County [MD]	2,054	456	361	183
New Haven County [CT]	2,049	465	401	199
Clark County [NV]	2,025	490	690	312
Bucks County [PA]	1,977	519	435	201
Monroe County [NY]	1,970	624	451	214
Suffolk County [MA]	1,967	473	314	158
Solano County [CA]	1,961	485	507	164
Monmouth County [NJ]	1,945	490	296	154
Essex County [NJ]	1,860	398	345	160
Chester County [PA]	1,847	495	284	208
Miami-Dade County [FL]	1,813	596	374	205
Marion County [IN]	1,813	524	439	224
Erie County [NY]	1,784	479	217	116
Milwaukee County [WI]	1,708	375	355	172
Washtenaw County [MI]	1,697	457	306	161
St. Louis County [MO]	1,696	376	105	62
Baltimore County [MD]	1,644	443	457	274
Rockland County [NY]	1,570	460	283	150
Delaware County [PA]	1,562	466	467	217
Camden County [NJ]	1,477	404	421	180
Yolo County [CA]	1,463	309	328	178
Snohomish County [WA]	1,436	441	317	155
New Castle County [DE]	1,414	390	218	127
Richmond County [NY]	1,411	485	294	133
Macomb County [MI]	1,409	390	474	188
Fresno County [CA]	1,290	462	458	238
Duval County [FL]	1,267	585	179	131
Multnomah County [OR]	1,260	410	150	92
Palm Beach County [FL]	1,258	323	244	135
District of Columbia [DC]	1,245	338	148	97
Union County [NJ]	1,207	387	150	85
Bronx County [NY]	1,197	437	291	209
Arapahoe County [CO]	1,156	321	101	64
Jefferson County [KY]	1,120	342	225	121
Dane County [WI]	1,088	321	248	150
Prince William County [VA]	1,047	412	141	86
Burlington County [NJ]	1,031	314	183	98
Davidson County [TN]	971	325	306	200
Albany County [NY]	952	335	168	112
Shelby County [TN]	944	326	130	92
Arlington County [VA]	875	309	63	53
Passaic County [NJ]	874	260	244	141
Pima County [AZ]	836	299	31	39
Kane County [IL]	830	385	272	231
Hillsborough County [NH]	827	239	139	85
Ramsey County [MN]	824	367	41	33
Placer County [CA]	806	275	280	177
Atlantic County [NJ]	800	372	307	181
Essex County [MA]	793	307	26	32
Providence County [RI]	793	243	53	47
Onondaga County [NY]	747	217	194	110
Oklahoma County [OK]	735	294	68	48
Pinellas County [FL]	732	262	172	115
Salt Lake County [UT]	730	216	62	54
Anne Arundel County [MD]	695	298	210	143
Baltimore city [MD]	679	366	89	94
Denver County [CO]	669	256	51	74
Ocean County [NJ]	646	291	160	83
Polk County [IA]	641	263	193	113
Santa Barbara County [CA]	613	260	38	41
Pierce County [WA]	613	253	158	111
Kern County [CA]	610	263	58	50
Dakota County [MN]	590	174	112	96
Guilford County [NC]	567	353	(B)	-
Sonoma County [CA]	527	210	139	115
Bristol County [MA]	509	225	128	83
Monterey County [CA]	478	188	149	101
Orange County [NY]	459	197	114	106
Bernalillo County [NM]	433	227	23	27
Honolulu County [HI]	329	135	112	89
Jefferson Parish [LA]	322	218	42	44
Hampden County [MA]	304	143	44	52
Clark County [WA]	300	185	96	73
Lancaster County [PA]	287	157	75	102
Washoe County [NV]	277	229	159	207
El Paso County [CO]	212	156	95	68
Virginia Beach city [VA]	209	130	76	64
Lee County [FL]	151	134	55	69
Plymouth County [MA]	71	93	30	42
Collier County [FL]	68	60	(B)	-
Anchorage Municipality [AK]	51	45	(B)	-
Navajo County [AZ]	38	49	7	12
Maui County [HI]	38	59	16	28
San Juan County [NM]	5	8	(B)	-

Hindi speakers by U.S city / urban area

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

City / Metropolitan area / CBSA	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
New York-Newark-Jersey City [NY]	107,026	3,746	25,784	1,530
San Francisco-Oakland-Hayward [CA]	42,523	2,437	7,383	932
Chicago-Naperville-Elgin [IL-IN]	33,820	1,833	8,885	925
Los Angeles-Long Beach-Anaheim [CA]	32,437	2,179	7,371	992
Washington-Arlington-Alexandria [DC-VA-MD-WV]	31,718	1,820	4,775	712
San Jose-Sunnyvale-Santa Clara [CA]	31,025	2,100	3,750	590
Houston-The Woodlands-Sugar Land [TX]	24,569	2,208	5,627	880
Dallas-Fort Worth-Arlington [TX]	21,683	1,610	4,321	735
Atlanta-Sandy Springs-Roswell [GA]	18,589	1,805	3,927	711
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD]	16,763	1,438	3,741	581
Sacramento-Roseville-Arden-Arcade [CA]	15,665	1,401	4,338	723
Boston-Cambridge-Newton [MA-NH]	15,584	1,455	2,597	519
Seattle-Tacoma-Bellevue [WA]	14,092	1,246	2,392	400
Detroit-Warren-Dearborn [MI]	11,078	1,117	2,496	416
Phoenix-Mesa-Scottsdale [AZ]	7,440	1,007	932	288
San Diego-Carlsbad [CA]	6,425	1,019	1,610	562
Minneapolis-St. Paul-Bloomington [MN-WI]	6,407	891	1,025	284
Miami-Fort Lauderdale-West Palm Beach [FL]	6,176	964	1,418	404
Austin-Round Rock [TX]	5,939	826	884	303
Baltimore-Columbia-Towson [MD]	5,523	827	1,175	379
Riverside-San Bernardino-Ontario [CA]	5,476	981	1,316	405
Charlotte-Concord-Gastonia [NC-SC]	5,330	948	1,143	396
Raleigh [NC]	4,689	903	714	325
Hartford-West Hartford-East Hartford [CT]	4,641	761	1,075	429
Columbus [OH]	4,559	859	984	402
Portland-Vancouver-Hillsboro [OR-WA]	4,344	719	579	225
Orlando-Kissimmee-Sanford [FL]	4,236	937	925	327
Bridgeport-Stamford-Norwalk [CT]	4,075	650	743	302
Indianapolis-Carmel-Anderson [IN]	3,920	858	858	391
Cincinnati [OH-KY-IN]	3,872	595	588	208
Cleveland-Elyria [OH]	3,792	563	500	189
Modesto [CA]	3,647	792	950	285
Pittsburgh [PA]	3,556	541	679	181
Trenton [NJ]	3,433	692	506	277
Tampa-St. Petersburg-Clearwater [FL]	3,398	673	512	201
Denver-Aurora-Lakewood [CO]	3,103	516	450	194
St. Louis [MO-IL]	3,044	579	200	99
Milwaukee-Waukesha-West Allis [WI]	2,801	426	479	188
San Antonio-New Braunfels [TX]	2,577	526	465	228
Richmond [VA]	2,570	476	502	278
Worcester [MA-CT]	2,548	503	549	209
Kansas City [MO-KS]	2,465	494	251	125
Stockton-Lodi [CA]	2,287	627	475	185
Oxnard-Thousand Oaks-Ventura [CA]	2,221	557	420	193
Nashville-Davidson-Murfreesboro-Franklin [TN]	2,158	502	610	269
Rochester [NY]	2,147	641	451	214
New Haven-Milford [CT]	2,049	465	401	199
Las Vegas-Henderson-Paradise [NV]	2,025	490	690	312
Vallejo-Fairfield [CA]	1,961	485	507	164
Buffalo-Cheektowaga-Niagara Falls [NY]	1,861	492	217	116
Allentown-Bethlehem-Easton [PA-NJ]	1,730	422	289	144
Ann Arbor [MI]	1,697	457	306	161
Jacksonville [FL]	1,491	624	220	141
Providence-Warwick [RI-MA]	1,388	334	186	91
Albany-Schenectady-Troy [NY]	1,372	433	193	116
Fresno [CA]	1,290	462	458	238
Dayton [OH]	1,289	344	154	90
Louisville Jefferson County [KY]	1,224	371	239	122
Akron [OH]	1,184	449	132	73
Harrisburg-Carlisle [PA]	1,118	373	117	74
Madison [WI]	1,104	318	248	150
Memphis [TN-MS-AR]	1,030	349	130	92
Deltona-Daytona Beach-Ormond Beach [FL]	1,024	443	437	339
Virginia Beach-Norfolk-Newport News [VA-NC]	1,016	358	234	139
Grand Rapids-Wyoming [MI]	977	346	176	99
Omaha-Council Bluffs [NE-IA]	911	305	183	151
Oklahoma City [OK]	849	308	119	77
Tucson [AZ]	836	299	31	39
Manchester-Nashua [NH]	827	239	139	85
Atlantic City-Hammonton [NJ]	800	372	307	181
Syracuse [NY]	789	215	194	110
Des Moines-West Des Moines [IA]	738	279	193	113
Salt Lake City [UT]	730	216	62	54
Durham-Chapel Hill [NC]	698	234	41	51
Lansing-East Lansing [MI]	685	192	90	59
New Orleans-Metairie [LA]	679	245	55	46
Springfield [MA]	641	245	131	101
Santa Maria-Santa Barbara [CA]	613	260	38	41
Greensboro-High Point [NC]	611	358	(B)	-
Bakersfield [CA]	610	263	58	50
Tulsa [OK]	596	192	92	52
Albuquerque [NM]	578	286	80	92
Baton Rouge [LA]	533	256	191	127
Santa Rosa [CA]	527	210	139	115
Salinas [CA]	478	188	149	101
New York-Newark-Jersey City [NY-NJ-PA]	443	186	116	103
Lafayette [LA]	370	247	15	20
Urban Honolulu [HI]	329	135	112	89
Spokane-Spokane Valley [WA]	293	266	10	17
Lancaster [PA]	287	157	75	102
Reno [NV]	277	229	159	207
Portland-South Portland [ME]	254	158	(B)	-
Colorado Springs [CO]	212	156	95	68
Cape Coral-Fort Myers [FL]	151	134	55	69
Naples-Immokalee-Marco Island [FL]	68	60	(B)	-
Anchorage [AK]	51	45	(B)	-
Kahului-Wailuku-Lahaina [HI]	38	59	16	28
Show Low [AZ]	38	49	7	12
Farmington [NM]	5	8	(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.