How many people speak "Mon-Khmer; Cambodian " 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 "Mon-Khmer; Cambodian", as defined by the U.S. Census Bureau.

Mon-Khmer; Cambodian speakers by U.S county

What counties in the United States have the most mon-khmer; cambodian speakers?

County	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Los Angeles County [CA]	30,112	2,022	16,858	1,179
Middlesex County [MA]	12,064	1,243	6,427	757
San Joaquin County [CA]	9,098	1,202	4,721	639
Philadelphia County [PA]	7,918	1,302	4,559	973
King County [WA]	7,229	970	3,842	681
Orange County [CA]	5,698	911	2,673	442
Pierce County [WA]	4,808	806	1,986	404
San Diego County [CA]	4,785	659	2,291	380
Fresno County [CA]	4,520	893	2,086	473
Essex County [MA]	4,389	782	2,196	454
Santa Clara County [CA]	3,961	803	2,413	527
Providence County [RI]	3,937	742	2,018	378
San Bernardino County [CA]	3,689	1,596	1,564	521
Alameda County [CA]	3,481	631	1,909	462
Riverside County [CA]	3,279	848	1,553	389
Harris County [TX]	3,246	834	1,962	557
Stanislaus County [CA]	3,074	566	1,276	287
Snohomish County [WA]	2,712	778	1,849	628
Cook County [IL]	2,103	725	1,245	502
Sacramento County [CA]	2,025	553	1,077	382
Gwinnett County [GA]	2,015	694	1,116	416
Franklin County [OH]	1,995	649	887	331
Dallas County [TX]	1,931	701	1,197	442
Bristol County [MA]	1,735	470	959	258
Guilford County [NC]	1,679	577	740	253
Maricopa County [AZ]	1,612	608	591	196
Mecklenburg County [NC]	1,490	523	688	297
Fairfax County [VA]	1,478	498	932	321
Hennepin County [MN]	1,456	500	868	349
Salt Lake County [UT]	1,386	462	822	278
Washington County [OR]	1,268	404	657	240
San Francisco County [CA]	1,212	571	662	307
Montgomery County [MD]	1,167	467	511	162
Clark County [NV]	1,160	384	593	258
Ramsey County [MN]	1,140	590	348	135
Suffolk County [MA]	1,106	353	592	225
Duval County [FL]	1,066	392	672	250
Contra Costa County [CA]	1,035	425	568	228
Fairfield County [CT]	1,030	397	640	241
Henrico County [VA]	903	313	418	214
Multnomah County [OR]	886	373	472	225
Bronx County [NY]	883	409	382	179
Delaware County [PA]	827	306	510	234
Denver County [CO]	818	523	458	332
Sonoma County [CA]	803	378	395	218
Dakota County [MN]	791	254	609	234
Denton County [TX]	723	370	271	153
Kings County [NY]	671	269	301	164
DuPage County [IL]	639	324	272	124
Pinellas County [FL]	576	228	367	187
Tarrant County [TX]	553	301	299	179
New Haven County [CT]	540	280	275	153
Kern County [CA]	531	271	231	130
Cuyahoga County [OH]	509	246	258	123
Prince George s County [MD]	507	397	180	129
Queens County [NY]	506	309	197	172
Lancaster County [PA]	494	238	345	175
Hamilton County [OH]	482	243	269	173
Loudoun County [VA]	466	269	209	130
Hampden County [MA]	462	222	268	149
Worcester County [MA]	432	238	124	96
DeKalb County [GA]	416	258	196	155
Hartford County [CT]	412	238	118	92
Bucks County [PA]	406	276	268	195
Montgomery County [PA]	390	158	143	71
Jefferson County [KY]	388	342	146	161
Prince William County [VA]	386	274	117	119
Norfolk County [MA]	383	181	170	92
Dane County [WI]	377	303	199	227
Arapahoe County [CO]	372	222	173	115
Clark County [WA]	354	204	210	141
Camden County [NJ]	325	211	255	169
Monroe County [NY]	324	151	127	83
Wake County [NC]	319	282	101	94
Fort Bend County [TX]	317	243	193	174
Hillsborough County [NH]	314	202	91	57
Onondaga County [NY]	303	182	113	88
Davidson County [TN]	294	176	126	97
Shelby County [TN]	293	280	188	147
Pima County [AZ]	285	155	148	100
Arlington County [VA]	264	158	136	126
Polk County [IA]	258	109	151	84
Oklahoma County [OK]	250	181	184	131
Plymouth County [MA]	244	152	124	103
Suffolk County [NY]	238	350	104	152
Ventura County [CA]	237	138	121	79
Lake County [IL]	228	166	167	126
Collin County [TX]	224	171	166	111
Kane County [IL]	223	226	106	112
Travis County [TX]	219	167	130	131
Orange County [FL]	207	148	91	80
Bexar County [TX]	207	134	153	114
Santa Barbara County [CA]	182	112	18	30
Orange County [NY]	178	125	104	88
New York County [NY]	169	85	66	47
Allegheny County [PA]	164	129	87	75
Honolulu County [HI]	163	97	37	45
Cobb County [GA]	162	124	74	69
Miami-Dade County [FL]	157	171	146	175
Johnson County [KS]	151	121	47	40
Macomb County [MI]	151	109	41	44
Burlington County [NJ]	149	116	73	61
Monterey County [CA]	142	95	111	91
Richmond County [NY]	136	135	65	84
Chester County [PA]	130	116	48	51
Anchorage Municipality [AK]	129	100	93	86
Will County [IL]	128	110	26	28
Westchester County [NY]	120	97	70	81
Yolo County [CA]	119	95	52	47
Anne Arundel County [MD]	118	110	56	54
Hillsborough County [FL]	117	71	91	64
Oakland County [MI]	115	88	72	59
Morris County [NJ]	112	172	66	101
San Mateo County [CA]	109	93	62	68
Fulton County [GA]	105	152	14	22
Marion County [IN]	100	105	60	97
Jefferson Parish [LA]	92	83	64	58
Placer County [CA]	87	94	65	65
Erie County [NY]	79	57	34	38
Virginia Beach city [VA]	78	75	63	71
Middlesex County [NJ]	77	100	77	100
Hawaii County [HI]	74	88	(B)	-
Rockland County [NY]	62	71	(B)	-
El Paso County [CO]	56	45	23	27
Solano County [CA]	55	55	(B)	-
Milwaukee County [WI]	54	53	30	30
District of Columbia [DC]	53	50	18	27
Broward County [FL]	52	52	23	27
Baltimore County [MD]	52	61	33	43
Wayne County [MI]	50	50	4	8
Navajo County [AZ]	48	57	48	57
New Castle County [DE]	41	47	11	18
Palm Beach County [FL]	41	59	31	58
Nassau County [NY]	40	31	(B)	-
Maui County [HI]	37	40	11	16
Atlantic County [NJ]	37	63	14	24
Bernalillo County [NM]	34	45	28	39
Washtenaw County [MI]	33	38	28	36
Washoe County [NV]	33	40	24	37
St. Louis County [MO]	26	40	26	40
Mercer County [NJ]	24	49	5	22
Albany County [NY]	16	25	9	14
Baltimore city [MD]	13	19	6	9
Howard County [MD]	7	12	(B)	-
Somerset County [NJ]	5	8	5	8
Union County [NJ]	5	9	(B)	-
Essex County [NJ]	2	4	2	4

Mon-Khmer; Cambodian speakers by U.S county

What cities in the United States have the most mon-khmer; cambodian 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]	35,810	2,159	19,531	1,299
Boston-Cambridge-Newton [MA-NH]	18,384	1,500	9,558	880
Seattle-Tacoma-Bellevue [WA]	14,749	1,199	7,677	916
Philadelphia-Camden-Wilmington [PA-NJ-DE-MD]	10,186	1,340	5,867	985
Stockton-Lodi [CA]	9,098	1,202	4,721	639
Riverside-San Bernardino-Ontario [CA]	6,968	1,832	3,117	643
San Francisco-Oakland-Hayward [CA]	6,031	1,002	3,302	650
Providence-Warwick [RI-MA]	6,022	814	3,102	458
San Diego-Carlsbad [CA]	4,785	659	2,291	380
Washington-Arlington-Alexandria [DC-VA-MD-WV]	4,701	936	2,236	410
Minneapolis-St. Paul-Bloomington [MN-WI]	4,597	940	2,501	521
Fresno [CA]	4,520	893	2,086	473
Houston-The Woodlands-Sugar Land [TX]	4,328	879	2,460	575
Atlanta-Sandy Springs-Roswell [GA]	4,218	986	2,159	582
San Jose-Sunnyvale-Santa Clara [CA]	4,166	820	2,585	533
Dallas-Fort Worth-Arlington [TX]	3,607	904	2,081	554
Chicago-Naperville-Elgin [IL-IN]	3,483	814	1,837	534
New York-Newark-Jersey City [NY]	3,231	775	1,462	395
Modesto [CA]	3,074	566	1,276	287
Portland-Vancouver-Hillsboro [OR-WA]	2,885	652	1,495	368
Sacramento-Roseville-Arden-Arcade [CA]	2,282	576	1,232	385
Columbus [OH]	2,182	673	1,024	371
Denver-Aurora-Lakewood [CO]	1,939	547	867	347
Phoenix-Mesa-Scottsdale [AZ]	1,703	607	624	194
Greensboro-High Point [NC]	1,679	577	740	253
Charlotte-Concord-Gastonia [NC-SC]	1,651	531	742	300
Jacksonville [FL]	1,549	621	723	267
Richmond [VA]	1,531	426	771	296
Salt Lake City [UT]	1,436	455	872	286
Las Vegas-Henderson-Paradise [NV]	1,160	384	593	258
Bridgeport-Stamford-Norwalk [CT]	1,030	397	640	241
Springfield [MA]	1,024	515	506	236
Grand Rapids-Wyoming [MI]	914	318	454	170
Portland-South Portland [ME]	912	392	576	239
Virginia Beach-Norfolk-Newport News [VA-NC]	899	524	365	244
Kansas City [MO-KS]	825	393	361	204
Santa Rosa [CA]	803	378	395	218
Cincinnati [OH-KY-IN]	787	342	528	290
Tampa-St. Petersburg-Clearwater [FL]	709	238	458	185
Deltona-Daytona Beach-Ormond Beach [FL]	701	344	515	286
Cleveland-Elyria [OH]	569	247	285	120
Hartford-West Hartford-East Hartford [CT]	569	285	175	109
New Haven-Milford [CT]	540	280	275	153
Bakersfield [CA]	531	271	231	130
Lancaster [PA]	494	238	345	175
Worcester [MA-CT]	441	238	133	97
Nashville-Davidson-Murfreesboro-Franklin [TN]	402	201	161	99
Louisville Jefferson County [KY]	388	342	146	161
Madison [WI]	377	303	199	227
Memphis [TN-MS-AR]	370	281	204	146
Orlando-Kissimmee-Sanford [FL]	367	247	232	195
Rochester [NY]	354	152	139	81
Austin-Round Rock [TX]	340	179	193	141
Raleigh [NC]	330	281	101	94
Syracuse [NY]	322	182	113	88
Detroit-Warren-Dearborn [MI]	316	129	117	68
Manchester-Nashua [NH]	314	202	91	57
Tucson [AZ]	285	155	148	100
Oklahoma City [OK]	260	183	194	133
Des Moines-West Des Moines [IA]	258	109	151	84
San Antonio-New Braunfels [TX]	253	145	193	131
Miami-Fort Lauderdale-West Palm Beach [FL]	250	184	200	190
Oxnard-Thousand Oaks-Ventura [CA]	237	138	121	79
Spokane-Spokane Valley [WA]	214	190	58	63
Pittsburgh [PA]	207	126	105	71
New Orleans-Metairie [LA]	196	122	128	79
Indianapolis-Carmel-Anderson [IN]	193	156	123	122
Baltimore-Columbia-Towson [MD]	190	137	95	72
Santa Maria-Santa Barbara [CA]	182	112	18	30
Urban Honolulu [HI]	163	97	37	45
New York-Newark-Jersey City [NY-NJ-PA]	154	110	105	77
Akron [OH]	150	130	105	95
Salinas [CA]	142	95	111	91
Anchorage [AK]	129	100	93	86
Harrisburg-Carlisle [PA]	101	85	69	70
Allentown-Bethlehem-Easton [PA-NJ]	95	69	47	42
Durham-Chapel Hill [NC]	81	89	81	89
Buffalo-Cheektowaga-Niagara Falls [NY]	79	57	34	38
Hilo [HI]	74	88	(B)	-
St. Louis [MO-IL]	74	70	57	63
Dayton [OH]	63	79	(B)	-
Colorado Springs [CO]	56	45	23	27
Vallejo-Fairfield [CA]	55	55	(B)	-
Milwaukee-Waukesha-West Allis [WI]	54	53	30	30
Tulsa [OK]	52	41	8	9
Show Low [AZ]	48	57	48	57
Atlantic City-Hammonton [NJ]	37	63	14	24
Kahului-Wailuku-Lahaina [HI]	37	40	11	16
Albuquerque [NM]	34	45	28	39
Ann Arbor [MI]	33	38	28	36
Reno [NV]	33	40	24	37
Trenton [NJ]	24	49	5	22
Omaha-Council Bluffs [NE-IA]	22	30	13	19
Albany-Schenectady-Troy [NY]	16	25	9	14
Lansing-East Lansing [MI]	13	22	(B)	-
Baton Rouge [LA]	11	22	11	22

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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