Languages spoken in Hudson 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 Hudson County [NJ]

Table showing languages spoken in Hudson 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	601,083	97	155,455	2,561
Speak only English at home	245,418	3,450	(X)	(X)
Speak a language other than English at home	355,665	3,474	155,455	2,561
SPANISH AND SPANISH CREOLE	233,306	2,033	109,444	2,206
Spanish	233,305	2,033	109,445	2,206
OTHER INDO-EUROPEAN LANGUAGES	64,898	2,728	23,907	1,390
French (incl Patois, Cajun)	3,797	605	1,158	324
French	3,580	582	1,100	328
Patois	215	133	(D)	(D)
French Creole	2,912	808	1,199	414
Italian	4,928	584	2,091	347
Portuguese (incl Portuguese Creole)	10,004	920	3,779	533
Portuguese	10,005	920	3,780	533
German (incl Luxembourgian)	802	171	70	50
German	800	171	70	50
Yiddish	34	36	14	21
Other West Germanic languages	363	323	(B)	-
Dutch	235	173	(B)	-
Afrikaans	125	179	(B)	-
Scandinavian languages	190	93	(B)	-
Swedish	85	71	(B)	-
Danish	105	70	(B)	-
Greek	1,265	396	276	147
Russian	2,064	342	775	207
Polish	4,907	690	2,075	402
Serbo-Croatian languages	683	264	324	196
Serbocroatian	105	70	(D)	(D)
Croatian	495	237	305	188
Serbian	85	99	15	27
Other Slavic languages	942	214	386	133
Ukrainian	590	215	285	131
Czech	75	55	35	38
Slovak	50	41	(D)	(D)
Bulgarian	205	101	50	40
Macedonian	(D)	(D)	(B)	-
Slovene	(D)	(D)	(B)	-
Armenian	319	161	177	132
Persian	443	247	193	140
Hindi	13,378	1,025	3,947	605
Gujarati	9,012	1,223	4,042	739
Urdu	4,221	846	1,732	418
Other Indic languages	3,757	609	1,345	299
India nec3	300	187	145	108
Bengali	1,280	393	485	208
Panjabi	815	332	260	135
Marathi	815	239	275	174
Oriya	65	62	(B)	-
Assamese	(D)	(D)	(B)	-
Nepali	180	89	50	51
Sindhi	130	98	(D)	(D)
Sinhalese	150	106	115	89
Other Indo-European languages	877	243	324	136
Jamaican Creole	110	99	70	70
Krio	175	129	65	60
Romanian	340	156	155	98
Irish Gaelic	20	22	(B)	-
Albanian	115	82	(D)	(D)
Lithuanian	45	62	(D)	(D)
Latvian	65	53	(B)	-
Pashto	(D)	(D)	(B)	-
ASIAN AND PACIFIC ISLAND LANGUAGES	41,104	1,483	14,806	889
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	10,989	1,068	4,922	629
Chinese	6,590	697	3,385	492
Cantonese	1,345	438	450	245
Mandarin	2,755	582	975	258
Fuchow	(D)	(D)	(D)	(D)
Formosan	235	163	100	89
Wu	50	48	(B)	-
Japanese	1,644	346	909	272
Korean	3,129	524	1,569	334
Thai	230	195	133	110
Vietnamese	2,086	621	1,040	346
Other Asian languages	6,016	651	1,388	329
Turkish	1,235	332	330	155
Mongolian	55	55	(D)	(D)
Dravidian	125	157	(B)	-
Telugu	1,525	356	380	176
Kannada	350	161	65	66
Malayalam	635	311	230	179
Tamil	2,055	422	335	140
Burmese	45	41	(D)	(D)
Tagalog	16,562	1,157	4,739	596
Other Pacific Island languages	448	216	106	91
Indonesian	90	86	(D)	(D)
Malay	40	53	(B)	-
Bisayan	70	117	35	47
Sebuano	(D)	(D)	(B)	-
Ilocano	220	141	(D)	(D)
Tongan	(D)	(D)	(D)	(D)
ALL OTHER LANGUAGES	16,357	1,518	7,298	837
Other Native North American languages	33	36	17	24
Micmac	(D)	(D)	(D)	(D)
Walapai	(D)	(D)	(B)	-
Hungarian	173	83	50	46
Arabic	13,044	1,539	6,140	830
Hebrew	627	217	93	77
African languages	2,277	527	861	295
Amharic	335	205	190	125
Berber	320	257	235	228
Swahili	715	335	215	143
Bantu	110	96	(B)	-
Mande	(D)	(D)	(B)	-
Fulani	40	39	(B)	-
Gur	90	91	(D)	(D)
Kru, Ibo, Yoruba	660	263	205	154
Other and unspecified languages	203	107	137	80
Estonian	45	43	(D)	(D)
Caucasian	140	99	105	73
Basque	(D)	(D)	(B)	-
Syriac	(D)	(D)	(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.