Languages spoken in Prince William County, VA

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 languages spoken in Prince William County [VA]

Table showing languages spoken in Prince William County, VA

Population 5 years and over
Speak only English at home
Speak a language other than English at home
OTHER INDO-EUROPEAN LANGUAGES

French (incl. Patois, Cajun)

French Creole

Italian

Portuguese (incl. Portuguese Creole)

German (incl. Luxembourgian)

Yiddish

Other West Germanic languages

Scandinavian languages

Greek

Russian

Polish

Serbo-Croatian languages

Other Slavic languages

Other Indic languages

Other Indo-European languages

ASIAN AND PACIFIC ISLAND LANGUAGES

Chinese (incl. Cantonese, Mandarin, other Chinese languages)

Other Asian languages

Tagalog

Other Pacific Island languages

ALL OTHER LANGUAGES

Navajo

Other Native North American languages

Other and unspecified languages

BY STATE
BY COUNTY
BY CITY

Language	Number of speakers	Margin of Error	Speak English less than "Very Well"	Margin of Error
Population 5 years and over	382,771	71	45,533	1,891
Speak only English at home	267,303	2,379	(X)	(X)
Speak a language other than English at home	115,468	2,390	45,533	1,891
SPANISH AND SPANISH CREOLE	69,066	1,367	31,290	1,768
Spanish	69,065	1,367	31,290	1,768
OTHER INDO-EUROPEAN LANGUAGES	19,181	1,508	4,824	593
French (incl Patois, Cajun)	1,602	415	254	110
French	1,600	415	255	110
French Creole	634	245	178	135
Italian	333	114	30	26
Portuguese (incl Portuguese Creole)	743	313	194	128
Portuguese	745	313	195	128
German (incl Luxembourgian)	1,528	367	172	88
German	1,530	367	170	88
Other West Germanic languages	99	87	(B)	-
Dutch	75	83	(B)	-
Afrikaans	25	30	(B)	-
Scandinavian languages	240	136	25	26
Swedish	170	128	(D)	(D)
Danish	(D)	(D)	(B)	-
Norwegian	50	43	(D)	(D)
Greek	295	120	90	69
Russian	551	244	217	134
Polish	182	92	39	41
Serbo-Croatian languages	192	155	30	45
Serbocroatian	(D)	(D)	(B)	-
Croatian	45	69	(D)	(D)
Serbian	135	147	(B)	-
Other Slavic languages	387	147	68	68
Ukrainian	80	79	25	36
Czech	60	55	(B)	-
Slovak	45	57	(B)	-
Bulgarian	185	113	45	55
Macedonian	(D)	(D)	(D)	(D)
Armenian	94	86	13	20
Persian	2,462	749	817	250
Hindi	1,047	412	141	86
Gujarati	583	260	174	109
Urdu	4,147	881	1,051	273
Other Indic languages	2,741	688	895	311
India nec3	250	214	(D)	(D)
Bengali	735	336	265	167
Panjabi	725	315	215	122
Marathi	80	96	(B)	-
Kashmiri	65	92	(B)	-
Nepali	575	341	235	214
Pakistan nec3	230	355	(D)	(D)
Sinhalese	80	106	65	105
Other Indo-European languages	1,321	434	436	193
Jamaican Creole	(D)	(D)	(B)	-
Krio	180	123	(D)	(D)
Pidgin	50	74	(B)	-
Romanian	325	194	80	59
Irish Gaelic	25	24	(D)	(D)
Albanian	120	91	(D)	(D)
Lithuanian	(D)	(D)	(B)	-
Latvian	(D)	(D)	(B)	-
Pashto	255	251	135	115
Kurdish	310	273	170	150
ASIAN AND PACIFIC ISLAND LANGUAGES	15,608	959	6,693	662
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	1,968	412	776	209
Chinese	1,560	389	660	193
Cantonese	145	132	(B)	-
Mandarin	155	78	70	49
Formosan	110	105	(D)	(D)
Japanese	362	211	128	66
Korean	3,337	640	1,918	392
Mon-Khmer, Cambodian	386	274	117	119
Hmong	168	188	(B)	-
Thai	374	174	152	91
Laotian	485	244	225	146
Vietnamese	3,831	653	2,272	518
Other Asian languages	984	362	240	155
Uighur	145	171	65	83
Turkish	175	111	80	95
Mongolian	(D)	(D)	(D)	(D)
Telugu	325	213	70	82
Kannada	(D)	(D)	(B)	-
Malayalam	110	99	(B)	-
Tamil	160	91	(B)	-
Burmese	40	54	15	31
Tagalog	3,140	626	740	261
Other Pacific Island languages	573	316	125	127
Indonesian	165	139	70	88
Malay	35	40	(B)	-
Bisayan	(D)	(D)	(B)	-
Sebuano	270	247	(B)	-
Ilocano	50	79	35	75
Pampangan	(D)	(D)	(B)	-
Hawaiian	(D)	(D)	(D)	(D)
ALL OTHER LANGUAGES	11,613	1,457	2,726	507
Other Native North American languages	147	141	89	135
Potawatomi	(D)	(D)	(B)	-
Apache	(D)	(D)	(B)	-
Muskogee	(D)	(D)	(D)	(D)
Keres	(D)	(D)	(B)	-
Cherokee	(D)	(D)	(B)	-
Hungarian	73	90	33	57
Arabic	2,507	610	645	205
Hebrew	41	33	(B)	-
African languages	8,567	1,276	1,885	427
Amharic	1,650	521	585	297
Berber	60	72	35	57
Cushite	385	187	90	57
Sudanic	195	215	(D)	(D)
Swahili	65	70	(D)	(D)
Bantu	60	80	(D)	(D)
Mande	(D)	(D)	(B)	-
Fulani	65	72	40	65
Gur	10	26	(B)	-
Kru, Ibo, Yoruba	6,060	1,134	1,040	340
Other and unspecified languages	278	182	74	54
Finnish	(D)	(D)	(D)	(D)
Estonian	(D)	(D)	(B)	-
Caucasian	20	32	(D)	(D)
Syriac	70	96	(B)	-
Uncodable	160	129	(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.
3 N.E.C. stands for not elsewhere classified. These are languages where respondents indicated they spoke either Indian or Pakistan. For Indian, it cannot be determined if the respondent spoke a native American language or spoke a language from India. For Pakistan, respondents wrote in Pakistan but it cannot be determined which one of the languages spoken in Pakistan is actually being spoken. To distinguish these languages, n.e.c. is used to indicated they are not classified in any other language code.
This category includes literal write-ins of Chinese as well as Hakka, Kan, Hsiang, Cantonese, Mandarin, Fuchow, Formosan, and Wu.