How many people speak "Asian and Pacific Island Languages " in America

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 "Asian and Pacific Island Languages", as defined by the U.S. Census Bureau.

Asian and Pacific Island language speakers in the United States

Country	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
United States	9,539,099	23,440	4,570,035	17,435

Asian and Pacific Island language speakers by U.S. state

What U.S. states have the most asian and pacific island languages speakers?

State	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
California	3,375,028	12,691	1,655,771	9,450
New York	881,475	7,100	504,881	6,112
Texas	617,042	5,725	282,167	4,246
New Jersey	386,540	4,453	153,738	3,172
Washington	355,112	4,293	166,753	3,118
Illinois	331,327	4,322	144,481	3,437
Hawaii	279,961	4,085	148,136	3,020
Florida	269,329	4,348	120,898	3,585
Virginia	265,687	3,236	111,974	2,455
Massachusetts	237,872	3,013	116,583	2,387
Pennsylvania	216,885	2,964	108,998	2,397
Georgia	197,248	4,127	95,464	3,142
Maryland	196,814	3,429	85,374	2,553
Minnesota	151,280	2,585	70,901	1,949
Nevada	142,667	2,608	60,286	2,026
Michigan	135,724	2,540	57,987	2,040
North Carolina	134,620	2,602	57,961	1,908
Ohio	120,312	2,276	51,891	1,675
Arizona	113,544	2,598	48,706	1,846
Oregon	105,277	2,217	49,598	1,767
Colorado	91,051	1,758	42,929	1,190
Wisconsin	86,786	1,865	36,181	1,286
Connecticut	76,859	1,952	33,934	1,456
Missouri	66,504	1,980	31,713	1,282
Indiana	63,250	1,990	32,606	1,535
Tennessee	59,919	1,857	27,293	1,310
Utah	52,584	1,864	20,447	1,002
Louisiana	52,463	1,329	25,719	1,328
Oklahoma	49,658	1,702	23,627	991
Kansas	46,074	1,386	23,498	988
South Carolina	37,263	1,208	17,283	956
Iowa	36,717	1,158	18,565	805
Alabama	36,312	1,666	17,798	1,233
Alaska	35,935	1,286	17,119	1,194
Kentucky	32,592	1,048	15,779	878
Arkansas	26,769	1,231	13,797	856
Nebraska	22,798	973	11,989	781
Rhode Island	21,246	978	10,505	722
Mississippi	17,938	1,032	8,230	734
New Mexico	17,781	852	7,870	657
Delaware	16,609	1,003	5,707	674
New Hampshire	15,842	1,056	6,813	758
Idaho	12,505	957	5,135	635
District of Columbia	10,990	684	3,969	487
Maine	10,007	732	4,904	457
West Virginia	7,627	668	3,359	438
South Dakota	5,650	545	3,104	477
Vermont	4,808	470	2,439	368
North Dakota	4,032	412	2,101	312
Montana	3,876	341	1,965	271
Wyoming	2,910	445	1,109	353
Puerto Rico	1,649	605	1,335	574

Asian and Pacific Island language speakers by U.S county

What counties in the United States have the most asian and pacific island languages speakers?

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Los Angeles County [CA]	1,001,549	5,386	521,882	4,011
Orange County [CA]	398,892	3,736	202,222	2,636
Santa Clara County [CA]	387,878	4,334	183,069	2,810
Queens County [NY]	305,203	4,482	190,162	3,651
Alameda County [CA]	259,120	3,455	125,655	3,210
San Diego County [CA]	232,378	3,139	109,121	2,500
Honolulu County [HI]	219,609	3,285	122,530	2,716
San Francisco County [CA]	204,140	2,540	120,866	2,221
King County [WA]	203,449	3,335	94,441	2,462
Kings County [NY]	195,111	2,409	133,442	2,357
Cook County [IL]	190,201	3,302	88,968	2,364
Harris County [TX]	167,785	3,360	85,981	2,220
Sacramento County [CA]	134,054	2,579	66,097	2,228
Clark County [NV]	124,838	2,341	53,513	2,040
San Mateo County [CA]	123,055	2,086	51,383	1,703
Fairfax County [VA]	119,980	2,736	53,488	1,775
New York County [NY]	117,777	2,505	60,148	2,196
Bergen County [NJ]	93,875	1,964	41,604	1,463
Contra Costa County [CA]	93,864	2,026	39,804	1,704
San Bernardino County [CA]	90,947	2,021	40,735	1,790
Middlesex County [MA]	88,592	2,224	39,935	1,486
Montgomery County [MD]	84,589	1,717	37,568	1,334
Maricopa County [AZ]	84,079	2,379	36,856	1,635
Riverside County [CA]	83,377	2,273	37,263	1,603
Dallas County [TX]	77,269	2,241	37,055	1,471
Middlesex County [NJ]	71,841	1,856	26,835	1,240
Philadelphia County [PA]	70,832	1,881	43,335	1,618
San Joaquin County [CA]	56,957	1,755	28,275	1,393
Fort Bend County [TX]	56,919	2,456	22,961	1,656
Gwinnett County [GA]	56,464	2,096	32,236	2,033
Fresno County [CA]	55,475	1,876	24,964	1,384
Tarrant County [TX]	54,951	1,698	27,399	1,423
Nassau County [NY]	52,717	1,958	24,211	1,187
Collin County [TX]	50,763	1,770	20,669	1,227
Hennepin County [MN]	48,849	1,345	22,701	1,067
Ramsey County [MN]	47,058	1,006	24,307	1,378
Snohomish County [WA]	46,991	1,425	23,365	956
Suffolk County [MA]	44,152	1,174	25,588	897
Norfolk County [MA]	44,065	1,141	21,658	952
DuPage County [IL]	41,481	1,702	15,614	1,119
Hudson County [NJ]	41,104	1,483	14,806	889
Multnomah County [OR]	39,884	1,153	22,311	1,040
Pierce County [WA]	39,504	1,186	18,067	819
Oakland County [MI]	37,977	1,268	14,162	971
Solano County [CA]	37,574	1,340	13,352	941
Travis County [TX]	37,027	1,396	14,836	939
Ventura County [CA]	33,506	1,155	14,046	879
Salt Lake County [UT]	32,234	1,432	13,449	831
Fulton County [GA]	31,707	1,797	12,516	1,046
Orange County [FL]	30,965	1,915	14,389	1,184
Washington County [OR]	30,877	1,273	13,059	923
Montgomery County [PA]	30,453	1,021	13,766	787
Franklin County [OH]	29,610	1,285	13,165	947
Westchester County [NY]	29,475	1,348	11,042	736
Denton County [TX]	28,358	1,433	12,627	1,100
Broward County [FL]	28,040	1,540	13,546	905
Wake County [NC]	27,791	1,081	10,092	972
Bexar County [TX]	27,433	1,259	11,763	956
Suffolk County [NY]	27,320	1,228	12,666	846
Lake County [IL]	26,988	1,146	9,188	649
Hillsborough County [FL]	26,499	1,147	10,538	743
Mecklenburg County [NC]	25,748	1,463	11,694	1,046
Howard County [MD]	25,242	1,061	10,572	817
Hawaii County [HI]	24,999	1,832	8,625	1,074
Maui County [HI]	24,785	1,542	12,364	1,110
Duval County [FL]	24,487	1,262	10,394	1,032
Baltimore County [MD]	23,296	1,271	9,834	886
Fairfield County [CT]	23,272	1,074	10,005	726
Prince George s County [MD]	23,219	1,002	10,158	677
Loudoun County [VA]	22,776	1,286	7,142	756
Anchorage Municipality [AK]	22,555	1,060	10,898	1,028
Miami-Dade County [FL]	22,399	1,455	9,885	1,230
Morris County [NJ]	22,248	1,228	8,712	825
Richmond County [NY]	22,103	1,086	10,649	836
Somerset County [NJ]	21,768	1,307	6,901	644
Milwaukee County [WI]	21,623	747	9,444	675
Allegheny County [PA]	20,809	1,071	9,093	915
Essex County [NJ]	20,675	1,078	7,438	751
DeKalb County [GA]	20,637	1,177	11,607	993
Arapahoe County [CO]	20,507	916	10,437	763
Worcester County [MA]	20,296	900	9,963	819
St. Louis County [MO]	20,284	945	9,445	744
Bronx County [NY]	20,005	1,337	10,616	886
Hartford County [CT]	19,961	1,277	8,545	865
Cuyahoga County [OH]	19,671	948	8,950	634
Kern County [CA]	19,011	1,108	8,078	762
Palm Beach County [FL]	18,997	1,214	8,260	885
Virginia Beach city [VA]	18,951	836	7,306	586
New Haven County [CT]	18,503	947	8,102	694
Wayne County [MI]	18,269	984	6,815	650
Washtenaw County [MI]	18,185	780	6,966	683
Cobb County [GA]	17,662	1,201	6,817	848
Pima County [AZ]	17,612	1,023	7,356	673
Camden County [NJ]	17,439	1,015	9,257	785
Mercer County [NJ]	17,170	1,178	5,471	610
Pinellas County [FL]	17,134	959	9,436	836
Monroe County [NY]	17,036	1,022	8,360	666
Monmouth County [NJ]	17,033	924	6,294	635
Dane County [WI]	16,547	836	7,404	724
Essex County [MA]	16,283	755	7,453	547
Providence County [RI]	16,216	883	8,103	641
Oklahoma County [OK]	16,133	928	8,080	548
Monterey County [CA]	15,669	909	6,801	626
Prince William County [VA]	15,608	959	6,693	662
Macomb County [MI]	15,477	893	6,700	724
Delaware County [PA]	15,292	938	7,589	639
Washoe County [NV]	15,001	928	5,763	545
Will County [IL]	14,510	1,006	4,957	630
Erie County [NY]	14,434	981	7,186	878
Stanislaus County [CA]	14,408	1,234	6,041	762
Shelby County [TN]	14,335	861	6,774	598
Guilford County [NC]	14,024	865	7,337	661
Denver County [CO]	13,957	896	7,791	681
Santa Barbara County [CA]	13,787	633	5,951	471
Yolo County [CA]	13,510	921	5,761	632
New Castle County [DE]	13,259	804	4,310	540
Johnson County [KS]	13,234	961	5,231	661
Clark County [WA]	13,171	892	6,604	625
Union County [NJ]	13,053	869	4,564	499
Sonoma County [CA]	12,856	812	5,529	621
Passaic County [NJ]	12,683	1,172	4,946	652
Jefferson Parish [LA]	12,493	638	6,636	601
Davidson County [TN]	12,395	945	5,897	718
Anne Arundel County [MD]	11,984	882	4,516	488
Rockland County [NY]	11,894	784	4,459	571
Henrico County [VA]	11,834	840	4,890	623
Placer County [CA]	11,749	736	4,722	512
Bucks County [PA]	11,455	932	4,660	578
El Paso County [CO]	11,137	765	4,752	515
Polk County [IA]	11,012	740	5,237	534
District of Columbia [DC]	10,990	684	3,969	487
Dakota County [MN]	10,858	819	4,308	419
Jefferson County [KY]	10,690	758	4,902	588
Arlington County [VA]	10,651	880	4,006	621
Marion County [IN]	10,617	839	6,582	782
Atlantic County [NJ]	10,519	997	5,830	762
Chester County [PA]	10,451	637	3,672	387
Bernalillo County [NM]	10,434	703	5,170	578
Burlington County [NJ]	9,649	958	3,992	613
Kane County [IL]	9,454	789	4,089	822
Onondaga County [NY]	9,289	717	4,587	463
Hamilton County [OH]	9,046	599	3,623	406
Albany County [NY]	8,016	686	3,750	550
Baltimore city [MD]	7,993	588	3,375	435
Hillsborough County [NH]	6,935	632	3,131	467
Lancaster County [PA]	6,789	478	4,200	491
Bristol County [MA]	6,742	568	3,117	391
Hampden County [MA]	6,480	628	3,904	374
Ocean County [NJ]	5,707	580	2,336	409
Lee County [FL]	5,603	648	2,583	538
Orange County [NY]	4,897	536	2,157	333
Plymouth County [MA]	4,112	468	1,633	310
Collier County [FL]	2,901	514	1,710	445
Navajo County [AZ]	386	144	107	59
San Juan County [NM]	269	82	123	66

Asian and Pacific Island language speakers by U.S city / urban area

What cities in the United States have the most asian and pacific island languages 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]	1,400,441	6,704	724,104	4,806
New York-Newark-Jersey City [NY]	1,117,821	7,262	588,805	6,199
San Francisco-Oakland-Hayward [CA]	687,734	6,235	340,799	4,681
San Jose-Sunnyvale-Santa Clara [CA]	388,768	4,319	183,456	2,826
Washington-Arlington-Alexandria [DC-VA-MD-WV]	310,536	3,683	132,997	2,319
Chicago-Naperville-Elgin [IL-IN]	295,706	4,184	127,997	3,173
Seattle-Tacoma-Bellevue [WA]	289,944	3,715	135,873	2,903
Houston-The Woodlands-Sugar Land [TX]	248,366	4,317	116,778	2,906
San Diego-Carlsbad [CA]	232,378	3,139	109,121	2,500
Urban Honolulu [HI]	219,609	3,285	122,530	2,716
Dallas-Fort Worth-Arlington [TX]	216,250	3,323	99,898	2,601
Boston-Cambridge-Newton [MA-NH]	202,613	2,813	98,624	1,988
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD]	184,823	3,196	92,611	2,212
Riverside-San Bernardino-Ontario [CA]	174,324	2,925	77,998	2,729
Sacramento-Roseville-Arden-Arcade [CA]	162,765	2,833	77,766	2,435
Atlanta-Sandy Springs-Roswell [GA]	161,114	3,711	79,650	2,926
Minneapolis-St. Paul-Bloomington [MN-WI]	133,814	2,372	62,266	1,794
Las Vegas-Henderson-Paradise [NV]	124,838	2,341	53,513	2,040
Portland-Vancouver-Hillsboro [OR-WA]	95,836	2,153	47,306	1,526
Phoenix-Mesa-Scottsdale [AZ]	88,266	2,368	38,004	1,661
Baltimore-Columbia-Towson [MD]	73,520	2,256	30,435	1,581
Detroit-Warren-Dearborn [MI]	73,234	1,843	28,251	1,465
Miami-Fort Lauderdale-West Palm Beach [FL]	69,436	2,505	31,691	1,762
Denver-Aurora-Lakewood [CO]	62,722	1,549	31,422	1,239
Stockton-Lodi [CA]	56,957	1,755	28,275	1,393
Fresno [CA]	55,475	1,876	24,964	1,384
Tampa-St. Petersburg-Clearwater [FL]	50,138	1,739	22,810	1,274
Austin-Round Rock [TX]	49,675	1,753	19,305	1,157
Orlando-Kissimmee-Sanford [FL]	45,161	2,274	20,221	1,463
Virginia Beach-Norfolk-Newport News [VA-NC]	38,523	1,196	15,115	858
Columbus [OH]	37,745	1,495	15,814	1,004
Vallejo-Fairfield [CA]	37,574	1,340	13,352	941
St. Louis [MO-IL]	37,404	1,739	16,880	1,038
Charlotte-Concord-Gastonia [NC-SC]	36,007	1,693	16,092	1,144
Oxnard-Thousand Oaks-Ventura [CA]	33,506	1,155	14,046	879
Salt Lake City [UT]	32,745	1,448	13,681	831
Kansas City [MO-KS]	30,983	1,244	14,690	898
Jacksonville [FL]	30,880	1,535	12,456	1,089
San Antonio-New Braunfels [TX]	30,017	1,352	12,573	977
Milwaukee-Waukesha-West Allis [WI]	28,399	944	11,467	734
Raleigh [NC]	28,308	1,168	10,252	987
Providence-Warwick [RI-MA]	27,988	1,188	13,622	895
Oklahoma City [OK]	27,045	1,151	13,012	740
Pittsburgh [PA]	25,607	1,208	11,284	1,005
Hilo [HI]	24,999	1,832	8,625	1,074
Hartford-West Hartford-East Hartford [CT]	24,848	1,408	9,938	926
Kahului-Wailuku-Lahaina [HI]	24,806	1,544	12,372	1,112
New Orleans-Metairie [LA]	24,801	867	12,499	857
Cincinnati [OH-KY-IN]	24,167	1,114	10,342	1,023
Richmond [VA]	23,747	1,205	10,075	880
Anchorage [AK]	23,661	1,135	11,185	1,045
Nashville-Davidson-Murfreesboro-Franklin [TN]	23,489	1,337	10,231	938
Cleveland-Elyria [OH]	23,356	1,051	10,397	681
Bridgeport-Stamford-Norwalk [CT]	23,272	1,074	10,005	726
Indianapolis-Carmel-Anderson [IN]	21,470	1,140	10,647	958
Worcester [MA-CT]	21,270	920	10,479	848
Bakersfield [CA]	19,011	1,108	8,078	762
Rochester [NY]	18,906	1,055	9,349	716
New Haven-Milford [CT]	18,503	947	8,102	694
Ann Arbor [MI]	18,185	780	6,966	683
Tucson [AZ]	17,612	1,023	7,356	673
Trenton [NJ]	17,170	1,178	5,471	610
Madison [WI]	16,807	852	7,555	731
Memphis [TN-MS-AR]	16,425	986	7,822	723
Salinas [CA]	15,669	909	6,801	626
Buffalo-Cheektowaga-Niagara Falls [NY]	15,623	968	7,945	884
Albany-Schenectady-Troy [NY]	15,463	860	6,749	664
Greensboro-High Point [NC]	15,223	941	8,058	712
Reno [NV]	15,089	929	5,777	551
Durham-Chapel Hill [NC]	14,607	785	5,569	550
Modesto [CA]	14,408	1,234	6,041	762
Grand Rapids-Wyoming [MI]	13,910	793	7,078	629
Santa Maria-Santa Barbara [CA]	13,787	633	5,951	471
Santa Rosa [CA]	12,856	812	5,529	621
Louisville Jefferson County [KY]	12,603	770	5,720	636
Des Moines-West Des Moines [IA]	12,161	790	5,654	560
Tulsa [OK]	11,877	663	5,854	508
Albuquerque [NM]	11,693	719	5,507	578
Lansing-East Lansing [MI]	11,589	726	7,082	613
Colorado Springs [CO]	11,358	777	4,812	506
Omaha-Council Bluffs [NE-IA]	10,872	747	5,559	627
Baton Rouge [LA]	10,843	675	5,105	551
Dayton [OH]	10,579	860	4,756	526
Atlantic City-Hammonton [NJ]	10,519	997	5,830	762
Springfield [MA]	10,412	856	5,726	548
Allentown-Bethlehem-Easton [PA-NJ]	10,333	747	4,512	529
Syracuse [NY]	10,068	746	4,831	475
Akron [OH]	9,148	758	4,579	558
Harrisburg-Carlisle [PA]	8,546	713	3,518	447
Spokane-Spokane Valley [WA]	7,887	691	4,179	513
Manchester-Nashua [NH]	6,935	632	3,131	467
Lancaster [PA]	6,789	478	4,200	491
New York-Newark-Jersey City [NY-NJ-PA]	6,477	586	3,117	507
Portland-South Portland [ME]	6,083	539	2,960	308
Cape Coral-Fort Myers [FL]	5,603	648	2,583	538
Deltona-Daytona Beach-Ormond Beach [FL]	5,595	617	2,912	428
Lafayette [LA]	5,141	478	2,995	467
Naples-Immokalee-Marco Island [FL]	2,901	514	1,710	445
Show Low [AZ]	386	144	107	59
Farmington [NM]	269	82	123	66

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.