Languages spoken in Atlantic City-Hammonton, 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 Atlantic City-Hammonton [NJ]

Table showing languages spoken in Atlantic City-Hammonton, 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
African	(D)	(D)	(B)	-
Albanian	105	103	55	51
Amharic	(D)	(D)	(B)	-
Bantu	(D)	(D)	(D)	(D)
Bengali	2,570	559	1,530	384
Bisayan	95	92	(B)	-
Bulgarian	325	213	90	98
Cantonese	325	205	130	119
Chinese	2,480	662	1,775	473
Croatian	110	110	40	44
Czech	(D)	(D)	(B)	-
Dutch	135	169	(B)	-
Efik	50	52	(D)	(D)
Formosan	(D)	(D)	(B)	-
French	710	257	185	121
Fulani	(D)	(D)	(D)	(D)
German	755	207	115	81
Hawaiian	(D)	(D)	(B)	-
India nec3	65	81	(D)	(D)
Indonesian	90	57	75	53
Irish Gaelic	30	34	(D)	(D)
Kru, Ibo, Yoruba	275	131	85	60
Lithuanian	30	53	(B)	-
Macedonian	10	27	10	21
Malayalam	365	319	145	156
Mandarin	350	280	245	261
Mande	45	54	(B)	-
Marathi	60	83	(B)	-
Nepali	25	102	4	27
Norwegian	40	35	(D)	(D)
Pakistan nec3	85	83	60	78
Panjabi	325	163	115	66
Pashto	125	106	(D)	(D)
Patois	(D)	(D)	(D)	(D)
Portuguese	215	132	95	76
Quechua	(D)	(D)	(D)	(D)
Romanian	145	164	35	41
Sebuano	70	75	(D)	(D)
Serbian	195	153	65	58
Serbocroatian	10	9	(D)	(D)
Sinhalese	35	36	(D)	(D)
Slovak	(D)	(D)	(B)	-
Spanish	37,970	1,172	16,235	951
Swahili	(D)	(D)	(B)	-
Swedish	(D)	(D)	(B)	-
Tamil	40	55	(D)	(D)
Telugu	165	121	40	47
Turkish	190	114	85	56
Ukrainian	155	109	25	28
African languages	502	189	134	76
Arabic	1,374	543	582	257
Armenian	163	185	71	95
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	3,162	809	2,150	595
French (incl Patois, Cajun)	730	256	198	123
French Creole	1,012	411	418	188
German (incl Luxembourgian)	754	207	114	81
Greek	972	352	247	112
Gujarati	2,790	663	1,538	389
Hebrew	110	93	13	19
Hindi	800	372	307	181
Hungarian	82	95	26	38
Italian	1,670	338	407	169
Japanese	109	88	27	46
Korean	557	217	307	149
Laotian	105	105	75	76
Mon-Khmer, Cambodian	37	63	14	24
Other and unspecified languages	32	48	32	48
Other Asian languages	761	337	273	154
Other Indic languages	3,171	584	1,778	417
Other Indo-European languages	436	236	120	76
Other Pacific Island languages	307	147	116	82
Other Slavic languages	534	273	124	103
Other West Germanic languages	133	169	(B)	-
Persian	317	224	127	90
Polish	474	176	143	69
Population 5 years and over	258,301	20	29,348	1,218
Portuguese (incl Portuguese Creole)	215	132	96	76
Russian	689	247	247	118
Scandinavian languages	51	36	9	10
Serbo-Croatian languages	314	175	110	72
Tagalog	2,214	473	605	232
Thai	79	75	28	35
Urdu	980	367	399	177
Vietnamese	3,188	785	2,235	589
Yiddish	101	57	42	38
ALL OTHER LANGUAGES	2,100	611	787	279
ASIAN AND PACIFIC ISLAND LANGUAGES	10,519	997	5,830	762
OTHER INDO-EUROPEAN LANGUAGES	16,306	1,337	6,495	746
SPANISH AND SPANISH CREOLE	37,969	1,172	16,236	951
Speak a language other than English at home	66,894	1,548	29,348	1,218
Speak only English at home	191,407	1,553	(X)	(X)

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.