Languages spoken in Delaware 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 Delaware County [PA]

Table showing languages spoken in Delaware 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	525,912	25	20,739	1,077
Speak only English at home	465,037	1,525	(X)	(X)
Speak a language other than English at home	60,875	1,528	20,739	1,077
SPANISH AND SPANISH CREOLE	13,241	873	4,257	636
Spanish	13,240	873	4,255	636
OTHER INDO-EUROPEAN LANGUAGES	27,057	1,353	7,976	834
French (incl Patois, Cajun)	3,803	681	979	305
French	3,610	697	950	306
Patois	190	130	(D)	(D)
French Creole	2,056	652	744	377
Italian	3,802	574	969	263
Portuguese (incl Portuguese Creole)	346	132	67	44
Portuguese	345	132	65	44
German (incl Luxembourgian)	1,378	253	241	82
German	1,380	253	240	82
Yiddish	44	52	5	8
Other West Germanic languages	718	223	30	27
Pennsylvania Dutch	370	148	30	27
Dutch	320	181	(B)	-
Afrikaans	25	25	(B)	-
Scandinavian languages	268	164	39	42
Swedish	155	126	40	42
Danish	70	89	(B)	-
Norwegian	30	38	(B)	-
Icelandic	(D)	(D)	(B)	-
Greek	2,871	417	864	197
Russian	599	216	260	124
Polish	603	214	171	151
Serbo-Croatian languages	244	125	33	29
Serbocroatian	25	22	(B)	-
Croatian	145	105	25	27
Serbian	75	80	(D)	(D)
Other Slavic languages	557	169	238	112
Ukrainian	335	152	150	104
Czech	55	76	55	76
Slovak	65	48	(D)	(D)
Bulgarian	100	69	20	24
Armenian	785	306	252	138
Persian	781	332	219	101
Hindi	1,562	466	467	217
Gujarati	925	326	343	197
Urdu	1,212	471	276	174
Other Indic languages	3,056	552	1,234	350
India nec3	240	196	115	163
Bengali	1,200	341	540	198
Panjabi	1,365	374	505	193
Marathi	40	52	(B)	-
Nepali	145	113	35	38
Pakistan nec3	(D)	(D)	(D)	(D)
Sinhalese	45	75	35	53
Other Indo-European languages	1,447	328	545	203
Jamaican Creole	(D)	(D)	(D)	(D)
Krio	420	219	150	132
Catalonian	(D)	(D)	(B)	-
Romanian	145	84	40	37
Irish Gaelic	110	58	40	41
Albanian	455	183	185	103
Lithuanian	130	75	25	27
Latvian	30	26	(B)	-
Pashto	110	117	95	98
Kurdish	(D)	(D)	(B)	-
ASIAN AND PACIFIC ISLAND LANGUAGES	15,292	938	7,589	639
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	4,809	703	2,490	470
Chinese	3,520	594	1,845	406
Cantonese	575	220	265	105
Mandarin	500	233	270	147
Formosan	210	162	110	112
Japanese	498	187	166	90
Korean	2,019	551	1,130	334
Mon-Khmer, Cambodian	827	306	510	234
Hmong	15	23	(B)	-
Thai	118	83	79	71
Laotian	73	77	15	24
Vietnamese	3,012	603	1,943	451
Other Asian languages	2,729	589	973	319
Azerbaijani	(D)	(D)	(B)	-
Turkish	245	147	60	52
Mongolian	(D)	(D)	(D)	(D)
Telugu	530	218	100	78
Kannada	85	91	40	48
Malayalam	825	294	520	258
Tamil	465	222	35	35
Tibetan	195	228	30	40
Burmese	370	291	175	173
Tagalog	1,124	306	247	107
Other Pacific Island languages	68	62	36	37
Indonesian	30	40	25	30
Malay	(D)	(D)	(D)	(D)
Bisayan	(D)	(D)	(B)	-
Carolinian	(D)	(D)	(B)	-
ALL OTHER LANGUAGES	5,285	748	917	214
Other Native North American languages	68	65	14	25
Inupik	(D)	(D)	(B)	-
Kuchin	(D)	(D)	(B)	-
Choctaw	(D)	(D)	(D)	(D)
Keres	(D)	(D)	(B)	-
Hungarian	124	95	58	54
Arabic	1,414	326	338	117
Hebrew	116	74	13	20
African languages	3,487	668	471	155
Amharic	875	418	225	138
Cushite	15	24	(B)	-
Sudanic	(D)	(D)	(B)	-
Swahili	260	115	(D)	(D)
Bantu	200	125	(D)	(D)
Mande	850	332	105	62
Fulani	95	62	(B)	-
Kru, Ibo, Yoruba	1,020	268	110	70
African	170	96	(D)	(D)
Other and unspecified languages	76	61	23	30
Finnish	(D)	(D)	(B)	-
Estonian	(D)	(D)	(B)	-
Oto - Manguen	(D)	(D)	(D)	(D)
Uncodable	45	51	(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.