Languages spoken in Fairfield County, CT

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 Fairfield County [CT]

Table showing languages spoken in Fairfield County, CT

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	870,328	75	106,509	2,606
Speak only English at home	624,825	3,181	(X)	(X)
Speak a language other than English at home	245,503	3,176	106,509	2,606
SPANISH AND SPANISH CREOLE	127,025	1,693	62,134	1,801
Spanish	127,025	1,693	62,135	1,801
OTHER INDO-EUROPEAN LANGUAGES	87,952	2,750	31,856	1,730
French (incl Patois, Cajun)	7,647	689	2,018	403
French	7,090	640	1,925	399
Patois	545	273	90	82
Cajun	(D)	(D)	(B)	-
French Creole	9,206	1,176	4,028	609
Italian	10,680	943	2,981	366
Portuguese (incl Portuguese Creole)	18,997	1,445	9,677	971
Portuguese	18,995	1,445	9,675	971
German (incl Luxembourgian)	4,276	502	550	132
German	4,275	502	550	132
Yiddish	176	83	12	19
Other West Germanic languages	1,015	301	92	77
Dutch	860	278	90	77
Afrikaans	155	98	(B)	-
Scandinavian languages	1,205	282	73	54
Swedish	660	167	40	42
Danish	260	124	25	30
Norwegian	285	139	(D)	(D)
Greek	4,054	533	892	190
Russian	4,136	710	1,742	306
Polish	8,021	959	3,435	558
Serbo-Croatian languages	895	317	314	143
Serbocroatian	185	116	45	35
Croatian	460	235	100	64
Serbian	245	200	170	145
Other Slavic languages	2,011	434	640	230
Ukrainian	605	215	285	143
Czech	245	124	(B)	-
Slovak	740	283	245	151
Bulgarian	220	130	80	100
Macedonian	85	70	(D)	(D)
Slovene	115	110	20	17
Armenian	228	124	71	47
Persian	542	184	156	88
Hindi	4,075	650	743	302
Gujarati	919	306	228	111
Urdu	2,138	747	896	515
Other Indic languages	3,705	686	1,506	391
India nec3	320	163	80	61
Bengali	1,880	534	845	335
Panjabi	625	246	165	109
Marathi	265	150	60	77
Oriya	(D)	(D)	(D)	(D)
Assamese	50	62	(B)	-
Nepali	365	259	260	215
Pakistan nec3	(D)	(D)	(D)	(D)
Sinhalese	105	76	(D)	(D)
Other Indo-European languages	4,026	759	1,802	471
Jamaican Creole	805	378	375	217
Catalonian	(D)	(D)	(B)	-
Romanian	1,035	330	320	139
Irish Gaelic	20	22	10	18
Albanian	1,335	456	585	287
Lithuanian	265	181	(D)	(D)
Latvian	80	70	65	54
Pashto	295	263	295	263
Kurdish	170	128	140	125
ASIAN AND PACIFIC ISLAND LANGUAGES	23,272	1,074	10,005	726
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	6,967	830	2,987	422
Chinese	5,690	789	2,420	423
Cantonese	465	251	150	113
Mandarin	675	178	345	156
Fuchow	(D)	(D)	(D)	(D)
Formosan	90	66	40	45
Wu	(D)	(D)	(D)	(D)
Japanese	1,675	472	980	435
Korean	1,818	479	912	309
Mon-Khmer, Cambodian	1,030	397	640	241
Thai	296	141	155	104
Laotian	866	387	472	228
Vietnamese	2,555	863	1,573	565
Other Asian languages	5,571	794	1,598	425
Karachay	(D)	(D)	(D)	(D)
Uighur	(D)	(D)	(B)	-
Turkish	595	187	230	117
Tungus	(D)	(D)	(D)	(D)
Dravidian	(D)	(D)	(B)	-
Gondi	(D)	(D)	(B)	-
Telugu	2,375	521	825	329
Kannada	285	216	(D)	(D)
Malayalam	645	308	135	115
Tamil	1,270	469	265	134
Munda	(D)	(D)	(B)	-
Tibetan	265	247	105	91
Tagalog	2,344	476	638	270
Other Pacific Island languages	150	84	50	40
Indonesian	35	34	(D)	(D)
Malay	25	39	(D)	(D)
Bisayan	(D)	(D)	(D)	(D)
Melanesian	30	35	(D)	(D)
Samoan	(D)	(D)	(B)	-
Hawaiian	(D)	(D)	(B)	-
ALL OTHER LANGUAGES	7,254	1,284	2,514	737
Other Native North American languages	35	37	10	17
Mohawk	(D)	(D)	(B)	-
Towa	(D)	(D)	(D)	(D)
American Indian	(D)	(D)	(B)	-
Hungarian	1,398	294	383	124
Arabic	2,865	871	1,444	641
Hebrew	996	403	153	86
African languages	1,585	501	420	207
Amharic	(D)	(D)	(D)	(D)
Cushite	(D)	(D)	(D)	(D)
Swahili	325	244	(D)	(D)
Bantu	335	276	135	149
Mande	(D)	(D)	(D)	(D)
Kru, Ibo, Yoruba	735	277	155	91
African	100	89	35	34
Other and unspecified languages	375	153	104	67
Finnish	220	122	60	53
Estonian	30	35	(B)	-
Caucasian	40	35	(D)	(D)
Basque	(D)	(D)	(B)	-
Syriac	(D)	(D)	(B)	-
Uncodable	40	34	(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.