Languages spoken in Camden County, NJ

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 Camden County [NJ]

Table showing languages spoken in Camden County, NJ

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	480,328	77	38,840	1,412
Speak only English at home	384,554	1,933	(X)	(X)
Speak a language other than English at home	95,774	1,933	38,840	1,412
SPANISH AND SPANISH CREOLE	56,098	1,196	23,208	1,101
Spanish	56,100	1,196	23,210	1,101
OTHER INDO-EUROPEAN LANGUAGES	18,768	1,529	5,585	618
French (incl Patois, Cajun)	1,751	416	334	167
French	1,685	422	335	167
Patois	65	57	(B)	-
French Creole	535	206	210	140
Italian	2,662	370	656	260
Portuguese (incl Portuguese Creole)	867	312	276	141
Portuguese	865	312	275	141
German (incl Luxembourgian)	1,075	219	208	133
German	1,075	219	210	133
Yiddish	372	310	(B)	-
Other West Germanic languages	182	119	(B)	-
Dutch	180	119	(B)	-
Scandinavian languages	101	74	(B)	-
Swedish	35	29	(B)	-
Norwegian	(D)	(D)	(B)	-
Icelandic	(D)	(D)	(B)	-
Greek	875	256	294	116
Russian	2,172	659	793	211
Polish	815	226	281	127
Serbo-Croatian languages	144	115	38	36
Serbocroatian	(D)	(D)	(D)	(D)
Croatian	35	28	15	21
Serbian	75	93	(D)	(D)
Other Slavic languages	411	188	137	89
Ukrainian	95	63	30	29
Czech	40	36	(D)	(D)
Slovak	230	174	85	87
Bulgarian	30	45	(B)	-
Macedonian	(D)	(D)	(D)	(D)
Armenian	65	46	13	21
Persian	252	188	71	66
Hindi	1,477	404	421	180
Gujarati	1,757	549	781	271
Urdu	741	358	196	113
Other Indic languages	1,652	446	645	248
India nec3	190	132	80	81
Bengali	735	285	360	183
Panjabi	375	210	70	81
Marathi	185	144	(D)	(D)
Nepali	140	137	105	120
Sindhi	(D)	(D)	(B)	-
Pakistan nec3	(D)	(D)	(B)	-
Other Indo-European languages	862	301	231	98
Jamaican Creole	110	90	(D)	(D)
Krio	40	42	(B)	-
Pidgin	40	65	(D)	(D)
Romanian	185	116	65	51
Welsh	50	46	(B)	-
Irish Gaelic	(D)	(D)	(D)	(D)
Scottic Gaelic	(D)	(D)	(B)	-
Albanian	300	220	100	74
Lithuanian	45	43	(B)	-
Latvian	35	49	(D)	(D)
Pashto	25	40	15	24
ASIAN AND PACIFIC ISLAND LANGUAGES	17,439	1,015	9,257	785
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	4,596	718	2,647	435
Chinese	3,420	671	2,000	391
Cantonese	315	179	140	74
Mandarin	570	314	315	188
Fuchow	80	123	80	123
Formosan	205	136	105	73
Wu	(D)	(D)	(D)	(D)
Japanese	267	112	79	65
Korean	2,508	706	1,558	377
Mon-Khmer, Cambodian	325	211	255	169
Thai	122	73	63	41
Laotian	6	10	(B)	-
Vietnamese	4,018	830	2,662	499
Other Asian languages	2,400	576	1,057	459
Turkish	650	357	400	271
Gondi	(D)	(D)	(D)	(D)
Telugu	475	254	(D)	(D)
Kannada	205	156	50	52
Malayalam	370	226	105	81
Tamil	360	257	(D)	(D)
Munda	(D)	(D)	(B)	-
Burmese	275	169	275	169
Tagalog	2,928	619	870	257
Other Pacific Island languages	269	143	66	66
Indonesian	80	81	(D)	(D)
Bisayan	(D)	(D)	(D)	(D)
Sebuano	20	28	(B)	-
Ilocano	(D)	(D)	(D)	(D)
Pampangan	(D)	(D)	(B)	-
Chamorro	(D)	(D)	(B)	-
Melanesian	105	106	(B)	-
ALL OTHER LANGUAGES	3,469	591	790	261
Hungarian	85	62	(B)	-
Arabic	1,225	376	409	223
Hebrew	532	282	50	41
African languages	1,568	431	305	125
Amharic	95	107	(D)	(D)
Cushite	15	19	(D)	(D)
Swahili	(D)	(D)	(D)	(D)
Bantu	75	59	(D)	(D)
Mande	60	64	(D)	(D)
Fulani	(D)	(D)	(D)	(D)
Gur	(D)	(D)	(B)	-
Kru, Ibo, Yoruba	1,260	412	225	110
Efik	(D)	(D)	(B)	-
African	45	49	(D)	(D)
Other and unspecified languages	59	50	26	39
Finnish	(D)	(D)	(B)	-
Caucasian	(D)	(D)	(D)	(D)
Arawakian	(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.