Languages spoken in Erie County, NY

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 Erie County [NY]

Table showing languages spoken in Erie County, NY

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	870,341	4	29,465	1,507
Speak only English at home	783,105	2,535	(X)	(X)
Speak a language other than English at home	87,236	2,535	29,465	1,507
SPANISH AND SPANISH CREOLE	27,952	1,336	7,653	646
Spanish	27,950	1,336	7,655	646
OTHER INDO-EUROPEAN LANGUAGES	34,565	1,694	10,218	991
French (incl Patois, Cajun)	3,970	419	805	222
French	3,935	413	795	219
Patois	35	26	(D)	(D)
French Creole	424	256	176	122
Italian	4,621	533	1,150	222
Portuguese (incl Portuguese Creole)	597	268	62	52
Portuguese	595	268	60	52
German (incl Luxembourgian)	2,706	348	538	164
German	2,705	348	540	164
Yiddish	330	235	153	155
Other West Germanic languages	141	78	9	16
Pennsylvania Dutch	30	29	(B)	-
Dutch	110	76	(D)	(D)
Scandinavian languages	178	130	17	22
Swedish	40	36	(D)	(D)
Danish	90	111	(B)	-
Norwegian	50	40	(D)	(D)
Greek	799	274	104	58
Russian	2,739	589	1,587	485
Polish	7,306	665	1,661	314
Serbo-Croatian languages	1,097	416	399	221
Serbocroatian	310	198	130	108
Croatian	245	168	(D)	(D)
Serbian	545	308	240	185
Other Slavic languages	1,529	290	712	195
Bielorussian	30	34	30	34
Ukrainian	965	258	480	163
Czech	45	43	25	32
Slovak	90	93	(D)	(D)
Bulgarian	150	97	55	46
Macedonian	200	103	70	76
Slovene	(D)	(D)	(D)	(D)
Armenian	36	46	36	46
Persian	474	289	191	177
Hindi	1,784	479	217	116
Gujarati	235	117	71	60
Urdu	1,361	459	465	227
Other Indic languages	2,854	632	1,416	348
India nec3	(D)	(D)	(B)	-
Bengali	1,205	472	640	228
Panjabi	700	327	290	178
Marathi	65	48	(B)	-
Oriya	(D)	(D)	(B)	-
Kashmiri	(D)	(D)	(B)	-
Nepali	720	348	425	229
Pakistan nec3	60	60	(D)	(D)
Sinhalese	50	56	(D)	(D)
Other Indo-European languages	1,384	434	449	197
Jamaican Creole	90	77	(B)	-
Romanian	190	118	70	52
Welsh	(D)	(D)	(D)	(D)
Irish Gaelic	75	50	(B)	-
Albanian	465	324	90	90
Lithuanian	50	37	(B)	-
Latvian	85	67	(D)	(D)
Pashto	235	191	170	154
Kurdish	180	176	95	95
ASIAN AND PACIFIC ISLAND LANGUAGES	14,434	981	7,186	878
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	5,523	613	2,232	396
Chinese	3,550	554	1,500	345
Hakka	30	46	30	46
Cantonese	780	293	220	162
Mandarin	995	283	385	204
Formosan	165	103	100	81
Japanese	588	229	210	148
Korean	1,446	359	637	196
Mon-Khmer, Cambodian	79	57	34	38
Thai	292	211	222	227
Laotian	183	107	69	57
Vietnamese	1,293	388	769	251
Other Asian languages	4,296	936	2,727	822
Turkish	445	233	205	111
Telugu	445	193	105	99
Kannada	70	72	(B)	-
Malayalam	220	170	80	114
Tamil	705	276	150	97
Tibetan	65	63	(D)	(D)
Burmese	1,025	542	870	454
Karen	1,320	634	1,300	630
Tagalog	373	165	81	51
Other Pacific Island languages	361	231	205	187
Indonesian	125	117	55	58
Malay	115	172	115	172
Bisayan	(D)	(D)	(D)	(D)
Sebuano	(D)	(D)	(D)	(D)
Pampangan	(D)	(D)	(B)	-
Tongan	(D)	(D)	(B)	-
ALL OTHER LANGUAGES	10,285	1,247	4,408	751
Other Native North American languages	488	214	158	116
Kiowa	(D)	(D)	(B)	-
Keres	(D)	(D)	(D)	(D)
Mohawk	170	157	(D)	(D)
Oneida	(D)	(D)	(B)	-
Seneca	170	111	(D)	(D)
Paiute	(D)	(D)	(B)	-
American Indian	(D)	(D)	(D)	(D)
Hungarian	527	179	147	92
Arabic	5,502	981	2,501	593
Hebrew	283	140	14	22
African languages	3,189	673	1,416	459
Amharic	460	247	245	161
Chadic	20	23	(D)	(D)
Cushite	835	386	345	154
Sudanic	140	195	55	64
Nilo-Hamitic	(D)	(D)	(B)	-
Swahili	645	426	325	288
Bantu	375	231	265	190
Mande	105	81	(D)	(D)
Fulani	60	63	60	63
Kru, Ibo, Yoruba	455	192	80	72
Efik	35	57	(B)	-
African	(D)	(D)	(B)	-
Other and unspecified languages	296	193	172	157
Finnish	60	60	(D)	(D)
Estonian	60	47	(D)	(D)
Syriac	(D)	(D)	(D)	(D)
Chibchan	120	174	100	143
Tupi-Guarani	(D)	(D)	(B)	-

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.