Languages spoken in Palm Beach County, FL

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 Palm Beach County [FL]

Table showing languages spoken in Palm Beach County, FL

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	1,268,614	88	165,206	3,544
Speak only English at home	907,740	4,886	(X)	(X)
Speak a language other than English at home	360,874	4,882	165,206	3,544
SPANISH AND SPANISH CREOLE	213,688	2,523	104,551	2,588
Spanish	213,670	2,522	104,540	2,587
Ladino	(D)	(D)	(D)	(D)
OTHER INDO-EUROPEAN LANGUAGES	118,546	3,768	49,799	2,093
French (incl Patois, Cajun)	12,362	1,182	3,474	512
French	11,580	1,161	3,365	521
Patois	765	270	90	80
Cajun	(D)	(D)	(D)	(D)
French Creole	61,203	3,054	32,220	1,876
Italian	6,341	764	2,093	445
Portuguese (incl Portuguese Creole)	10,612	1,083	4,729	670
Portuguese	10,610	1,083	4,730	670
German (incl Luxembourgian)	5,044	645	984	238
German	5,045	645	985	238
Yiddish	2,348	385	388	155
Other West Germanic languages	1,279	344	279	132
Dutch	890	308	175	96
Afrikaans	390	170	100	90
Scandinavian languages	1,502	385	159	92
Swedish	815	326	60	46
Danish	175	82	(D)	(D)
Norwegian	430	142	90	68
Icelandic	80	77	(B)	-
Greek	1,799	523	231	113
Russian	2,316	432	880	246
Polish	2,439	487	801	256
Serbo-Croatian languages	1,017	341	231	165
Serbocroatian	400	235	105	78
Croatian	270	146	(D)	(D)
Serbian	345	181	100	100
Other Slavic languages	1,342	363	419	187
Ukrainian	250	188	45	109
Czech	545	171	200	92
Slovak	175	85	65	53
Bulgarian	225	158	(D)	(D)
Macedonian	115	98	80	83
Slovene	30	36	(D)	(D)
Armenian	542	283	121	97
Persian	1,207	422	352	196
Hindi	1,258	323	244	135
Gujarati	1,364	534	496	273
Urdu	519	202	139	78
Other Indic languages	2,072	538	773	305
India nec3	110	83	(D)	(D)
Bengali	1,295	443	470	187
Panjabi	180	110	35	29
Marathi	220	174	(D)	(D)
Bihari	160	249	160	249
Nepali	85	100	(D)	(D)
Sindhi	(D)	(D)	(B)	-
Other Indo-European languages	1,980	431	786	254
Jamaican Creole	270	120	80	51
Krio	(D)	(D)	(D)	(D)
Catalonian	(D)	(D)	(D)	(D)
Romanian	1,000	297	405	215
Irish Gaelic	70	62	(B)	-
Albanian	280	202	115	68
Lithuanian	265	169	140	100
Latvian	65	43	20	26
ASIAN AND PACIFIC ISLAND LANGUAGES	18,997	1,214	8,260	885
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	5,041	759	2,801	605
Chinese	3,605	680	1,985	530
Cantonese	830	490	440	277
Mandarin	535	256	315	198
Formosan	70	57	60	54
Japanese	646	284	147	87
Korean	730	261	293	128
Mon-Khmer, Cambodian	41	59	31	58
Hmong	10	19	(B)	-
Thai	1,199	384	752	336
Laotian	353	209	117	116
Vietnamese	3,955	743	2,302	497
Other Asian languages	3,609	657	801	357
Uighur	55	55	45	42
Turkish	1,305	369	290	149
Dravidian	(D)	(D)	(B)	-
Telugu	480	258	130	155
Kannada	185	230	(B)	-
Malayalam	690	352	215	221
Tamil	375	179	(D)	(D)
Munda	225	231	(D)	(D)
Burmese	290	218	70	51
Tagalog	3,066	521	874	295
Other Pacific Island languages	347	171	142	93
Indonesian	135	110	80	70
Sebuano	(D)	(D)	(B)	-
Ilocano	65	62	35	55
Chamorro	(D)	(D)	(B)	-
Samoan	60	100	(D)	(D)
Fijian	(D)	(D)	(B)	-
ALL OTHER LANGUAGES	9,643	1,050	2,596	467
Other Native North American languages	17	26	(B)	-
Mikasuki	(D)	(D)	(B)	-
Hungarian	1,168	289	390	136
Arabic	3,847	800	602	221
Hebrew	2,268	448	582	226
African languages	145	104	11	18
Amharic	(D)	(D)	(D)	(D)
Swahili	50	64	(B)	-
Bantu	(D)	(D)	(B)	-
Mande	30	49	(B)	-
Fulani	(D)	(D)	(B)	-
Kru, Ibo, Yoruba	25	30	(B)	-
African	(D)	(D)	(B)	-
Other and unspecified languages	2,198	531	1,011	330
Finnish	1,640	386	685	233
Estonian	355	325	140	118
Caucasian	(D)	(D)	(D)	(D)
Mayan languages	120	176	120	176
Oto - Manguen	(D)	(D)	(D)	(D)
Quechua	50	91	50	91
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.