Languages spoken in Allegheny County, PA

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 Allegheny County [PA]

Table showing languages spoken in Allegheny County, PA

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	1,163,052	14	25,821	1,255
Speak only English at home	1,082,409	1,932	(X)	(X)
Speak a language other than English at home	80,643	1,930	25,821	1,255
SPANISH AND SPANISH CREOLE	16,022	875	4,245	532
Spanish	16,020	875	4,245	532
OTHER INDO-EUROPEAN LANGUAGES	37,795	1,563	10,563	831
French (incl Patois, Cajun)	4,503	554	1,012	213
French	4,345	537	1,005	211
Patois	160	92	(D)	(D)
French Creole	260	173	43	39
Italian	6,338	546	2,061	344
Portuguese (incl Portuguese Creole)	886	251	176	110
Portuguese	885	251	175	110
German (incl Luxembourgian)	4,524	431	679	130
German	4,525	431	680	130
Yiddish	357	192	28	33
Other West Germanic languages	367	174	80	69
Pennsylvania Dutch	125	106	45	57
Dutch	240	128	(D)	(D)
Afrikaans	(D)	(D)	(B)	-
Scandinavian languages	228	103	16	27
Swedish	90	59	(B)	-
Danish	35	38	(B)	-
Norwegian	85	64	(B)	-
Icelandic	(D)	(D)	(D)	(D)
Greek	1,817	398	460	175
Russian	2,797	570	1,094	292
Polish	1,682	257	365	115
Serbo-Croatian languages	1,960	387	698	233
Serbocroatian	875	311	365	164
Croatian	560	209	165	115
Serbian	525	169	170	91
Other Slavic languages	1,822	282	520	139
Bielorussian	15	31	(D)	(D)
Ukrainian	530	164	260	110
Czech	250	101	55	43
Slovak	685	160	120	63
Bulgarian	255	123	40	33
Macedonian	(D)	(D)	(B)	-
Slovene	75	38	40	34
Armenian	90	95	29	34
Persian	697	255	181	99
Hindi	3,035	509	468	139
Gujarati	1,552	538	829	416
Urdu	801	269	90	65
Other Indic languages	3,399	630	1,525	515
India nec3	380	233	145	164
Bengali	700	219	175	112
Panjabi	270	154	65	46
Marathi	435	207	(D)	(D)
Oriya	70	78	(B)	-
Nepali	1,415	498	1,100	477
Sindhi	(D)	(D)	(B)	-
Sinhalese	100	105	(D)	(D)
Other Indo-European languages	680	237	209	128
Jamaican Creole	45	40	(D)	(D)
Romanian	200	99	45	39
Irish Gaelic	50	32	(B)	-
Albanian	160	146	75	99
Lithuanian	190	117	75	65
Latvian	(D)	(D)	(B)	-
Pashto	(D)	(D)	(B)	-
ASIAN AND PACIFIC ISLAND LANGUAGES	20,809	1,071	9,093	915
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	8,708	706	4,195	549
Chinese	6,890	671	3,535	476
Cantonese	265	131	135	86
Mandarin	1,440	235	475	177
Fuchow	15	19	(B)	-
Formosan	95	58	50	42
Japanese	1,335	277	710	232
Korean	2,065	367	858	221
Mon-Khmer, Cambodian	164	129	87	75
Thai	319	119	173	87
Laotian	38	38	(B)	-
Vietnamese	1,084	364	491	218
Other Asian languages	5,526	893	2,238	711
Kazakh	85	84	50	63
Turkish	955	291	455	236
Telugu	1,855	565	560	420
Kannada	295	146	65	57
Malayalam	380	176	105	101
Tamil	1,190	300	280	160
Burmese	45	39	(D)	(D)
Karen	690	518	685	520
Kachin	30	33	(D)	(D)
Tagalog	827	274	165	109
Other Pacific Island languages	743	373	176	141
Indonesian	490	285	(D)	(D)
Malay	120	99	(B)	-
Ilocano	(D)	(D)	(B)	-
Pampangan	(D)	(D)	(B)	-
Chamorro	(D)	(D)	(B)	-
Mokilese	15	27	(D)	(D)
Melanesian	(D)	(D)	(D)	(D)
Samoan	(D)	(D)	(D)	(D)
ALL OTHER LANGUAGES	6,017	794	1,920	473
Navajo	1	3	(B)	-
Other Native North American languages	47	33	(B)	-
Wyandot	(D)	(D)	(B)	-
Cherokee	40	29	(B)	-
Hungarian	584	189	131	77
Arabic	2,781	632	1,148	421
Hebrew	784	210	94	65
African languages	1,758	415	534	239
Amharic	75	67	(D)	(D)
Berber	80	77	(D)	(D)
Chadic	75	88	20	36
Cushite	40	65	30	49
Swahili	260	147	100	96
Bantu	605	272	185	159
Mande	125	129	(D)	(D)
Fulani	(D)	(D)	(B)	-
Kru, Ibo, Yoruba	410	164	90	76
Efik	20	28	(D)	(D)
African	55	65	55	65
Other and unspecified languages	62	58	13	21
Finnish	(D)	(D)	(B)	-
Caucasian	(D)	(D)	(B)	-
Oto - Manguen	(D)	(D)	(D)	(D)
Uncodable	(D)	(D)	(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.