Languages spoken in Baltimore city, 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 city [MD]

Table showing languages spoken in Baltimore city, 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	579,901	118	20,197	1,200
Speak only English at home	528,619	1,739	(X)	(X)
Speak a language other than English at home	51,282	1,737	20,197	1,200
SPANISH AND SPANISH CREOLE	21,493	1,040	10,279	831
Spanish	21,495	1,040	10,280	831
OTHER INDO-EUROPEAN LANGUAGES	14,908	1,264	4,286	617
French (incl Patois, Cajun)	4,130	762	1,069	356
French	3,700	633	1,030	356
Patois	430	340	35	40
French Creole	374	165	44	37
Italian	921	229	137	74
Portuguese (incl Portuguese Creole)	357	137	76	57
Portuguese	355	137	75	57
German (incl Luxembourgian)	958	228	93	67
German	960	228	95	67
Yiddish	132	74	9	13
Other West Germanic languages	321	168	(B)	-
Dutch	320	168	(B)	-
Scandinavian languages	94	69	(B)	-
Swedish	70	64	(B)	-
Danish	(D)	(D)	(B)	-
Norwegian	(D)	(D)	(B)	-
Greek	1,079	239	466	195
Russian	1,558	399	698	246
Polish	687	201	224	97
Serbo-Croatian languages	200	108	30	34
Serbocroatian	90	62	(D)	(D)
Croatian	(D)	(D)	(B)	-
Serbian	100	84	25	33
Other Slavic languages	287	110	68	46
Ukrainian	115	72	40	37
Czech	95	66	(D)	(D)
Slovak	25	50	(D)	(D)
Bulgarian	(D)	(D)	(B)	-
Slovene	(D)	(D)	(D)	(D)
Armenian	50	70	(B)	-
Persian	507	165	160	90
Hindi	679	366	89	94
Gujarati	215	124	5	9
Urdu	687	338	359	245
Other Indic languages	1,234	426	686	303
Bengali	320	253	65	78
Panjabi	20	24	(D)	(D)
Marathi	(D)	(D)	(B)	-
Nepali	750	340	595	293
Sindhi	(D)	(D)	(B)	-
Pakistan nec3	40	42	(D)	(D)
Sinhalese	(D)	(D)	(B)	-
Romany	(D)	(D)	(B)	-
Other Indo-European languages	438	209	73	78
Jamaican Creole	90	62	(B)	-
Krio	50	59	(B)	-
Romanian	105	127	(B)	-
Irish Gaelic	25	25	(B)	-
Albanian	35	36	(B)	-
Lithuanian	45	43	(D)	(D)
Pashto	(D)	(D)	(D)	(D)
Kurdish	(D)	(D)	(D)	(D)
ASIAN AND PACIFIC ISLAND LANGUAGES	7,993	588	3,375	435
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	2,858	367	1,265	283
Chinese	1,910	297	1,015	261
Cantonese	170	84	50	44
Mandarin	640	205	165	103
Formosan	130	92	(D)	(D)
Wu	(D)	(D)	(B)	-
Japanese	388	138	75	73
Korean	1,781	361	919	223
Mon-Khmer, Cambodian	13	19	6	9
Thai	154	128	42	45
Laotian	72	59	45	43
Vietnamese	501	311	233	202
Other Asian languages	832	288	215	183
Uighur	40	64	40	64
Turkish	190	166	105	153
Dravidian	(D)	(D)	(B)	-
Telugu	140	88	(D)	(D)
Malayalam	55	43	(B)	-
Tamil	325	160	(D)	(D)
Tibetan	(D)	(D)	(B)	-
Burmese	60	75	55	71
Mien	(D)	(D)	(B)	-
Tagalog	1,266	356	572	248
Other Pacific Island languages	128	122	3	6
Indonesian	(D)	(D)	(B)	-
Malay	(D)	(D)	(D)	(D)
Bisayan	80	114	(B)	-
Chamorro	(D)	(D)	(B)	-
Samoan	(D)	(D)	(B)	-
Hawaiian	(D)	(D)	(B)	-
ALL OTHER LANGUAGES	6,888	828	2,257	555
Other Native North American languages	128	85	33	51
Cree	(D)	(D)	(B)	-
Ojibwa	(D)	(D)	(B)	-
Makah	35	51	35	51
Mohawk	(D)	(D)	(B)	-
American Indian	(D)	(D)	(B)	-
Hungarian	261	177	159	158
Arabic	1,284	417	590	280
Hebrew	1,089	360	81	57
African languages	4,065	674	1,360	474
Amharic	710	456	475	381
Chadic	45	52	(D)	(D)
Cushite	(D)	(D)	(B)	-
Sudanic	(D)	(D)	(D)	(D)
Nilotic	60	54	(B)	-
Swahili	395	181	155	120
Bantu	160	96	(D)	(D)
Mande	115	95	20	37
Fulani	490	332	220	175
Kru, Ibo, Yoruba	1,960	387	405	138
Mbum (and related)	(D)	(D)	(B)	-
African	(D)	(D)	(D)	(D)
Other and unspecified languages	61	46	34	34
Estonian	(D)	(D)	(D)	(D)
Syriac	(D)	(D)	(B)	-
Quechua	(D)	(D)	(D)	(D)
Uncodable	(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.