Languages spoken in Baltimore County, MD

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 Baltimore County [MD]

Table showing languages spoken in Baltimore County, MD

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	763,373	48	35,949	1,663
Speak only English at home	663,617	2,206	(X)	(X)
Speak a language other than English at home	99,756	2,205	35,949	1,663
SPANISH AND SPANISH CREOLE	27,710	1,344	11,566	1,057
Spanish	27,710	1,344	11,565	1,057
OTHER INDO-EUROPEAN LANGUAGES	35,223	1,565	11,750	902
French (incl Patois, Cajun)	5,311	778	1,092	300
French	5,250	775	1,090	300
Patois	65	60	(B)	-
French Creole	442	220	41	47
Italian	2,027	346	554	178
Portuguese (incl Portuguese Creole)	549	166	139	80
Portuguese	550	166	140	80
German (incl Luxembourgian)	2,090	334	175	72
German	2,090	334	175	72
Yiddish	237	94	55	43
Other West Germanic languages	300	163	(B)	-
Dutch	160	96	(B)	-
Afrikaans	140	133	(B)	-
Scandinavian languages	306	175	23	25
Swedish	85	78	(D)	(D)
Danish	75	94	(B)	-
Norwegian	75	67	(B)	-
Icelandic	75	89	(D)	(D)
Greek	2,333	441	447	133
Russian	6,839	858	3,689	502
Polish	876	207	266	117
Serbo-Croatian languages	357	167	127	76
Serbocroatian	170	120	85	62
Croatian	75	73	20	32
Serbian	110	126	(D)	(D)
Other Slavic languages	931	316	301	175
Ukrainian	705	312	210	159
Czech	50	49	10	11
Slovak	60	64	(D)	(D)
Bulgarian	110	100	55	45
Armenian	57	55	18	30
Persian	1,501	375	699	240
Hindi	1,644	443	457	274
Gujarati	1,932	508	995	345
Urdu	3,871	740	1,470	376
Other Indic languages	2,760	722	1,010	317
India nec3	145	133	60	72
Bengali	610	290	170	133
Panjabi	950	460	140	78
Marathi	(D)	(D)	(D)	(D)
Nepali	760	341	475	238
Sindhi	(D)	(D)	(B)	-
Pakistan nec3	(D)	(D)	(B)	-
Sinhalese	230	296	155	215
Other Indo-European languages	860	292	192	97
Jamaican Creole	190	140	(D)	(D)
Krio	(D)	(D)	(B)	-
Pidgin	(D)	(D)	(B)	-
Catalonian	(D)	(D)	(B)	-
Romanian	120	67	40	29
Irish Gaelic	50	46	(D)	(D)
Albanian	250	181	90	77
Lithuanian	105	72	(B)	-
Latvian	30	25	(D)	(D)
Pashto	50	81	(D)	(D)
Kurdish	(D)	(D)	(B)	-
ASIAN AND PACIFIC ISLAND LANGUAGES	23,296	1,271	9,834	886
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	5,368	794	3,022	595
Chinese	4,205	697	2,350	502
Cantonese	270	145	155	110
Mandarin	680	288	360	203
Formosan	205	120	155	120
Wu	(D)	(D)	(B)	-
Japanese	672	242	154	83
Korean	4,645	832	2,463	478
Mon-Khmer, Cambodian	52	61	33	43
Thai	367	203	83	63
Vietnamese	1,663	552	1,209	459
Other Asian languages	3,504	749	1,177	392
Uighur	130	128	95	108
Azerbaijani	185	262	120	164
Turkish	535	320	295	244
Telugu	1,030	396	245	143
Kannada	70	88	(B)	-
Malayalam	490	210	120	67
Tamil	785	347	175	130
Tibetan	(D)	(D)	(D)	(D)
Burmese	260	207	115	125
Tagalog	6,384	809	1,618	305
Other Pacific Island languages	641	335	75	53
Indonesian	210	223	35	38
Balinese	(D)	(D)	(B)	-
Malagasy	(D)	(D)	(D)	(D)
Malay	(D)	(D)	(B)	-
Bisayan	75	67	(B)	-
Sebuano	40	48	(B)	-
Ilocano	165	207	(B)	-
Bikol	(D)	(D)	(D)	(D)
Pampangan	(D)	(D)	(D)	(D)
Chamorro	(D)	(D)	(B)	-
Palau	(D)	(D)	(B)	-
Hawaiian	(D)	(D)	(B)	-
ALL OTHER LANGUAGES	13,527	1,491	2,799	540
Navajo	12	22	(B)	-
Other Native North American languages	65	69	10	16
Choctaw	(D)	(D)	(B)	-
American Indian	(D)	(D)	(D)	(D)
Hungarian	217	163	9	14
Arabic	2,956	782	586	239
Hebrew	1,275	402	249	144
African languages	8,785	1,007	1,847	426
Amharic	985	330	465	216
Chadic	75	76	(D)	(D)
Cushite	(D)	(D)	(D)	(D)
Swahili	1,115	370	370	234
Bantu	250	153	(D)	(D)
Mande	125	95	(D)	(D)
Fulani	245	205	130	136
Kru, Ibo, Yoruba	5,870	1,007	740	325
Efik	60	51	(D)	(D)
African	15	26	(D)	(D)
Other and unspecified languages	217	175	98	85
Estonian	75	50	(D)	(D)
Caucasian	140	166	75	78

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.