How many people speak "Japanese " in America

Language category: ASIAN AND 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 "Japanese", as defined by the U.S. Census Bureau.

Japanese speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	449,475	7,214	194,436	4,164

Japanese speakers by U.S. state

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

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
California	140,575	3,757	64,044	2,048
Hawaii	45,633	1,705	21,262	1,162
New York	34,294	1,756	16,575	1,292
Washington	25,418	1,664	9,321	714
Texas	15,675	1,209	6,572	634
Illinois	12,611	1,007	6,079	731
Florida	12,041	1,373	5,004	808
New Jersey	12,032	959	5,745	668
Michigan	12,022	977	6,080	807
Virginia	10,160	944	3,650	445
Ohio	9,510	915	4,619	580
Oregon	9,313	904	3,226	452
Georgia	8,474	959	3,438	608
Massachusetts	8,408	872	3,321	514
Pennsylvania	6,546	543	2,426	378
Maryland	6,249	711	2,318	422
Arizona	6,237	787	2,258	394
Colorado	6,071	706	1,751	263
Indiana	5,857	885	2,605	622
Nevada	5,811	640	2,349	455
North Carolina	5,717	699	2,189	374
Kentucky	4,813	565	2,508	374
Utah	4,375	577	1,098	256
Tennessee	3,845	566	1,745	405
Minnesota	3,743	496	1,406	273
Connecticut	3,391	606	1,550	529
South Carolina	2,824	464	1,229	286
Missouri	2,818	410	1,048	225
Louisiana	2,079	437	746	232
Oklahoma	2,007	414	747	224
New Mexico	1,941	369	565	149
Wisconsin	1,937	351	626	166
Kansas	1,918	337	827	203
Alabama	1,814	379	672	243
Alaska	1,752	558	677	334
Idaho	1,595	302	522	158
Iowa	1,142	198	361	121
Nebraska	1,075	256	370	133
Arkansas	942	219	436	138
Maine	839	196	149	77
District of Columbia	820	219	200	116
New Hampshire	795	240	258	136
Mississippi	778	252	310	152
Montana	715	229	360	184
West Virginia	605	178	391	155
Delaware	562	180	112	97
Rhode Island	498	175	188	95
North Dakota	391	184	225	146
South Dakota	288	145	105	76
Vermont	288	116	121	73
Wyoming	231	96	52	43
Puerto Rico	122	102	40	40

Japanese speakers by U.S county

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

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Los Angeles County [CA]	51,713	2,242	25,386	1,278
Honolulu County [HI]	38,561	1,462	18,937	1,126
Orange County [CA]	15,190	1,135	7,071	737
King County [WA]	14,190	1,349	5,112	605
Santa Clara County [CA]	13,632	1,096	6,027	687
San Diego County [CA]	12,618	1,129	5,968	754
New York County [NY]	11,515	1,046	5,570	716
Cook County [IL]	7,432	852	3,998	658
San Francisco County [CA]	6,790	671	3,045	382
Alameda County [CA]	6,476	968	2,814	527
Queens County [NY]	5,920	740	2,991	541
San Mateo County [CA]	5,771	603	2,692	435
Bergen County [NJ]	5,316	677	2,876	453
Oakland County [MI]	5,231	747	3,266	678
Clark County [NV]	5,122	610	2,205	445
Westchester County [NY]	4,620	643	2,387	436
Hawaii County [HI]	4,094	584	1,204	257
Maricopa County [AZ]	4,022	718	1,391	314
Sacramento County [CA]	3,727	494	1,703	290
Middlesex County [MA]	3,492	528	1,446	291
Kings County [NY]	3,489	425	1,594	348
Fairfax County [VA]	3,144	561	1,270	343
Washington County [OR]	3,059	698	1,300	392
Contra Costa County [CA]	2,964	644	975	262
Harris County [TX]	2,894	421	1,290	288
Riverside County [CA]	2,828	582	1,274	356
Snohomish County [WA]	2,601	486	912	244
Pierce County [WA]	2,588	395	1,101	207
Franklin County [OH]	2,365	471	1,309	330
Montgomery County [MD]	2,327	400	1,226	295
San Bernardino County [CA]	2,267	350	999	215
Multnomah County [OR]	2,152	408	704	193
Maui County [HI]	2,006	361	820	191
Salt Lake County [UT]	1,918	383	543	186
Norfolk County [MA]	1,915	460	792	291
Ventura County [CA]	1,897	348	816	206
Orange County [FL]	1,897	564	897	294
Washtenaw County [MI]	1,883	358	935	244
Fulton County [GA]	1,758	505	810	277
Fairfield County [CT]	1,675	472	980	435
Hudson County [NJ]	1,644	346	909	272
Nassau County [NY]	1,626	338	920	248
Wayne County [MI]	1,563	310	538	186
Dallas County [TX]	1,561	398	710	214
Fresno County [CA]	1,520	297	675	154
Bexar County [TX]	1,481	359	683	248
Hennepin County [MN]	1,435	350	653	241
Miami-Dade County [FL]	1,365	456	642	287
Monterey County [CA]	1,358	302	619	174
Allegheny County [PA]	1,335	277	710	232
Lake County [IL]	1,319	325	635	206
Collin County [TX]	1,228	367	583	179
Suffolk County [MA]	1,223	302	470	164
Solano County [CA]	1,222	292	465	141
Clark County [WA]	1,203	375	528	215
Travis County [TX]	1,172	245	477	152
Suffolk County [NY]	1,158	271	495	160
Pima County [AZ]	1,155	295	442	176
Tarrant County [TX]	1,150	333	498	222
DuPage County [IL]	1,071	255	485	176
Gwinnett County [GA]	1,034	315	553	221
Wake County [NC]	1,017	312	353	168
Arlington County [VA]	1,011	294	406	173
DeKalb County [GA]	1,009	426	510	366
Cuyahoga County [OH]	991	253	427	157
Cobb County [GA]	975	384	407	194
San Joaquin County [CA]	972	273	335	113
Virginia Beach city [VA]	952	280	355	124
Bernalillo County [NM]	942	230	218	105
Arapahoe County [CO]	937	265	281	114
Santa Barbara County [CA]	903	256	344	129
Philadelphia County [PA]	896	271	328	124
Sonoma County [CA]	856	250	230	120
Bronx County [NY]	846	251	384	155
Anchorage Municipality [AK]	836	375	430	313
Duval County [FL]	829	330	200	103
District of Columbia [DC]	820	219	200	116
Middlesex County [NJ]	818	243	322	140
Placer County [CA]	807	239	363	139
Kern County [CA]	775	335	165	85
Jefferson County [KY]	766	290	209	106
Montgomery County [PA]	716	199	217	92
Broward County [FL]	702	236	394	161
El Paso County [CO]	701	206	273	96
Hillsborough County [FL]	682	204	233	117
Baltimore County [MD]	672	242	154	83
Essex County [NJ]	666	264	280	147
St. Louis County [MO]	660	242	217	123
Palm Beach County [FL]	646	284	147	87
Marion County [IN]	642	243	130	77
Denver County [CO]	630	174	158	72
Hartford County [CT]	621	212	255	151
Pinellas County [FL]	616	209	262	144
Essex County [MA]	594	177	233	104
Shelby County [TN]	590	239	191	109
Erie County [NY]	588	229	210	148
New Haven County [CT]	579	166	172	86
Anne Arundel County [MD]	576	183	126	84
Davidson County [TN]	571	222	312	139
Hamilton County [OH]	556	194	252	135
Johnson County [KS]	546	212	191	83
Mercer County [NJ]	537	197	260	142
Monroe County [NY]	521	198	191	122
Mecklenburg County [NC]	516	173	154	105
Washoe County [NV]	508	209	90	53
Delaware County [PA]	498	187	166	90
Dane County [WI]	471	209	198	106
Prince George s County [MD]	470	155	168	89
Stanislaus County [CA]	464	188	134	82
Yolo County [CA]	456	170	205	105
Howard County [MD]	445	261	211	186
Macomb County [MI]	444	162	170	71
Fort Bend County [TX]	436	216	264	136
Worcester County [MA]	415	134	146	85
Oklahoma County [OK]	414	150	157	96
Denton County [TX]	410	158	112	66
Baltimore city [MD]	388	138	75	73
Ramsey County [MN]	388	134	101	60
Morris County [NJ]	387	161	109	72
New Castle County [DE]	382	150	27	26
Passaic County [NJ]	380	171	159	91
Union County [NJ]	374	167	64	73
Dakota County [MN]	370	160	87	75
Somerset County [NJ]	367	190	169	127
Loudoun County [VA]	364	132	135	79
Prince William County [VA]	362	211	128	66
Burlington County [NJ]	349	128	211	99
Guilford County [NC]	338	165	179	107
Will County [IL]	330	143	84	54
Chester County [PA]	309	146	105	76
Providence County [RI]	304	129	32	27
Albany County [NY]	274	152	120	68
Camden County [NJ]	267	112	79	65
Richmond County [NY]	258	114	80	45
Plymouth County [MA]	253	155	34	39
Orange County [NY]	238	111	110	75
Onondaga County [NY]	228	87	63	48
Henrico County [VA]	221	141	82	80
Ocean County [NJ]	202	112	44	43
Hillsborough County [NH]	191	139	135	124
Bucks County [PA]	180	138	19	22
Monmouth County [NJ]	178	108	44	41
Jefferson Parish [LA]	164	85	118	80
Milwaukee County [WI]	157	94	65	60
Rockland County [NY]	151	111	68	73
Lee County [FL]	150	87	98	75
Polk County [IA]	147	76	62	56
Lancaster County [PA]	119	66	64	48
Atlantic County [NJ]	109	88	27	46
Bristol County [MA]	80	44	44	31
Kane County [IL]	69	63	(B)	-
Collier County [FL]	64	61	24	26
Navajo County [AZ]	58	59	8	14
Hampden County [MA]	47	59	11	17
San Juan County [NM]	12	19	12	19

Japanese speakers by U.S city / urban area

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

City / Metropolitan area / CBSA	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Los Angeles-Long Beach-Anaheim [CA]	66,903	2,475	32,457	1,500
New York-Newark-Jersey City [NY]	40,822	2,058	19,964	1,468
Urban Honolulu [HI]	38,561	1,462	18,937	1,126
San Francisco-Oakland-Hayward [CA]	23,070	1,475	9,891	786
Seattle-Tacoma-Bellevue [WA]	19,379	1,561	7,125	681
San Jose-Sunnyvale-Santa Clara [CA]	13,810	1,093	6,069	685
San Diego-Carlsbad [CA]	12,618	1,129	5,968	754
Chicago-Naperville-Elgin [IL-IN]	10,955	974	5,392	714
Washington-Arlington-Alexandria [DC-VA-MD-WV]	9,692	806	3,952	481
Boston-Cambridge-Newton [MA-NH]	7,821	844	3,008	486
Detroit-Warren-Dearborn [MI]	7,447	838	4,094	689
Portland-Vancouver-Hillsboro [OR-WA]	7,362	938	2,780	508
Atlanta-Sandy Springs-Roswell [GA]	6,136	868	2,660	565
Sacramento-Roseville-Arden-Arcade [CA]	5,180	549	2,332	339
Las Vegas-Henderson-Paradise [NV]	5,122	610	2,205	445
Riverside-San Bernardino-Ontario [CA]	5,095	697	2,273	424
Dallas-Fort Worth-Arlington [TX]	4,716	713	2,021	404
Phoenix-Mesa-Scottsdale [AZ]	4,290	709	1,428	313
Hilo [HI]	4,094	584	1,204	257
Houston-The Woodlands-Sugar Land [TX]	4,090	543	1,897	374
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD]	3,833	457	1,197	244
Denver-Aurora-Lakewood [CO]	3,380	527	882	198
Columbus [OH]	2,931	502	1,679	343
Minneapolis-St. Paul-Bloomington [MN-WI]	2,840	434	992	260
Cincinnati [OH-KY-IN]	2,750	573	1,596	489
Miami-Fort Lauderdale-West Palm Beach [FL]	2,713	672	1,183	359
Baltimore-Columbia-Towson [MD]	2,618	466	671	245
Orlando-Kissimmee-Sanford [FL]	2,396	615	1,004	310
Virginia Beach-Norfolk-Newport News [VA-NC]	2,237	445	671	145
Indianapolis-Carmel-Anderson [IN]	2,034	539	812	363
Kahului-Wailuku-Lahaina [HI]	2,006	361	820	191
Salt Lake City [UT]	1,989	389	554	187
Austin-Round Rock [TX]	1,901	336	669	192
Oxnard-Thousand Oaks-Ventura [CA]	1,897	348	816	206
Ann Arbor [MI]	1,883	358	935	244
Bridgeport-Stamford-Norwalk [CT]	1,675	472	980	435
San Antonio-New Braunfels [TX]	1,654	381	702	247
Pittsburgh [PA]	1,620	303	802	240
St. Louis [MO-IL]	1,615	289	632	186
Tampa-St. Petersburg-Clearwater [FL]	1,537	316	549	169
Fresno [CA]	1,520	297	675	154
Cleveland-Elyria [OH]	1,392	306	601	182
Salinas [CA]	1,358	302	619	174
Albuquerque [NM]	1,249	281	302	113
Nashville-Davidson-Murfreesboro-Franklin [TN]	1,226	327	598	184
Vallejo-Fairfield [CA]	1,222	292	465	141
Dayton [OH]	1,219	396	631	201
Tucson [AZ]	1,155	295	442	176
Jacksonville [FL]	1,140	371	363	159
Raleigh [NC]	1,082	315	353	168
Kansas City [MO-KS]	1,050	227	414	126
Louisville Jefferson County [KY]	1,016	325	316	150
Oklahoma City [OK]	997	360	413	196
Anchorage [AK]	973	435	446	315
Stockton-Lodi [CA]	972	273	335	113
Richmond [VA]	927	258	436	180
Charlotte-Concord-Gastonia [NC-SC]	925	221	379	171
Santa Maria-Santa Barbara [CA]	903	256	344	129
Santa Rosa [CA]	856	250	230	120
Bakersfield [CA]	775	335	165	85
New Orleans-Metairie [LA]	763	225	360	153
Colorado Springs [CO]	759	230	273	96
Hartford-West Hartford-East Hartford [CT]	758	241	296	160
Omaha-Council Bluffs [NE-IA]	713	235	214	115
Rochester [NY]	706	235	307	144
Albany-Schenectady-Troy [NY]	705	189	319	98
Memphis [TN-MS-AR]	648	243	211	106
Spokane-Spokane Valley [WA]	617	203	162	85
Buffalo-Cheektowaga-Niagara Falls [NY]	615	226	227	148
New Haven-Milford [CT]	579	166	172	86
Providence-Warwick [RI-MA]	578	174	232	96
Reno [NV]	540	210	103	55
Trenton [NJ]	537	197	260	142
Akron [OH]	515	149	118	65
Madison [WI]	503	212	216	111
Modesto [CA]	464	188	134	82
Greensboro-High Point [NC]	457	182	255	122
Worcester [MA-CT]	415	134	146	85
Grand Rapids-Wyoming [MI]	400	141	51	36
Portland-South Portland [ME]	376	139	45	32
Baton Rouge [LA]	359	155	130	91
New York-Newark-Jersey City [NY-NJ-PA]	356	192	96	93
Allentown-Bethlehem-Easton [PA-NJ]	349	140	142	83
Durham-Chapel Hill [NC]	335	145	120	76
Syracuse [NY]	328	123	100	71
Tulsa [OK]	328	99	98	60
Harrisburg-Carlisle [PA]	327	135	81	58
Lansing-East Lansing [MI]	326	114	115	78
Milwaukee-Waukesha-West Allis [WI]	311	116	83	65
Springfield [MA]	241	114	119	84
Des Moines-West Des Moines [IA]	200	100	62	56
Manchester-Nashua [NH]	191	139	135	124
Lafayette [LA]	187	98	74	48
Deltona-Daytona Beach-Ormond Beach [FL]	155	109	81	61
Cape Coral-Fort Myers [FL]	150	87	98	75
Lancaster [PA]	119	66	64	48
Atlantic City-Hammonton [NJ]	109	88	27	46
Naples-Immokalee-Marco Island [FL]	64	61	24	26
Show Low [AZ]	58	59	8	14
Farmington [NM]	12	19	12	19

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.