Languages spoken in Pima County, AZ

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 Pima County [AZ]

Table showing languages spoken in Pima County, AZ

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	925,414	75	77,432	2,721
Speak only English at home	661,590	3,878	(X)	(X)
Speak a language other than English at home	263,824	3,871	77,432	2,721
SPANISH AND SPANISH CREOLE	217,115	3,547	63,713	2,501
Spanish	217,115	3,547	63,715	2,501
OTHER INDO-EUROPEAN LANGUAGES	17,656	1,244	3,288	480
French (incl Patois, Cajun)	3,228	525	658	245
French	3,230	525	660	245
French Creole	194	203	(B)	-
Italian	1,282	271	347	132
Portuguese (incl Portuguese Creole)	751	276	183	78
Portuguese	750	276	185	78
German (incl Luxembourgian)	4,204	516	395	148
German	4,205	516	395	148
Yiddish	110	103	14	24
Other West Germanic languages	445	200	(B)	-
Dutch	340	150	(B)	-
Afrikaans	105	137	(B)	-
Scandinavian languages	430	175	49	41
Swedish	175	87	(D)	(D)
Danish	35	31	(D)	(D)
Norwegian	205	139	25	29
Icelandic	(D)	(D)	(B)	-
Greek	458	174	84	67
Russian	1,279	354	489	185
Polish	553	230	129	79
Serbo-Croatian languages	489	168	152	81
Serbocroatian	265	134	95	65
Croatian	95	63	45	42
Serbian	135	92	(D)	(D)
Other Slavic languages	381	147	30	32
Ukrainian	95	65	(D)	(D)
Czech	100	77	(B)	-
Slovak	75	59	(B)	-
Bulgarian	80	79	(D)	(D)
Slovene	35	55	(D)	(D)
Armenian	151	78	10	16
Persian	986	381	182	96
Hindi	836	299	31	39
Gujarati	304	155	28	69
Urdu	561	284	152	149
Other Indic languages	694	269	294	182
India nec3	(D)	(D)	(B)	-
Bengali	130	113	45	49
Panjabi	155	102	(D)	(D)
Marathi	(D)	(D)	(B)	-
Nepali	315	194	240	165
Sinhalese	50	35	(B)	-
Other Indo-European languages	320	125	61	60
Jamaican Creole	(D)	(D)	(B)	-
Romanian	200	114	40	57
Irish Gaelic	50	34	(D)	(D)
Albanian	(D)	(D)	(B)	-
Lithuanian	40	44	(D)	(D)
Pashto	(D)	(D)	(B)	-
ASIAN AND PACIFIC ISLAND LANGUAGES	17,612	1,023	7,356	673
Chinese (incl Cantonese, Mandarin, other Chinese languages4)	6,334	1,134	3,074	580
Chinese	4,625	1,049	2,425	504
Cantonese	630	260	325	187
Mandarin	955	420	300	200
Formosan	125	96	20	26
Japanese	1,155	295	442	176
Korean	1,632	342	840	257
Mon-Khmer, Cambodian	285	155	148	100
Hmong	88	120	10	16
Thai	394	164	148	96
Laotian	324	206	154	110
Vietnamese	2,484	547	1,479	372
Other Asian languages	1,172	418	369	274
Turkish	450	236	185	141
Telugu	285	205	(D)	(D)
Kannada	35	42	(B)	-
Malayalam	170	148	(D)	(D)
Tamil	100	78	35	39
Tibetan	(D)	(D)	(B)	-
Karen	115	184	115	184
Tagalog	2,611	535	505	183
Other Pacific Island languages	1,133	410	187	116
Indonesian	115	76	35	37
Malay	160	158	60	62
Bisayan	95	93	40	65
Sebuano	(D)	(D)	(B)	-
Ilocano	(D)	(D)	(B)	-
Chamorro	140	99	(D)	(D)
Marshallese	380	307	(D)	(D)
Palau	(D)	(D)	(D)	(D)
Samoan	(D)	(D)	(B)	-
Hawaiian	140	102	(B)	-
ALL OTHER LANGUAGES	11,441	1,125	3,075	658
Navajo	1,319	308	239	124
Other Native North American languages	4,763	516	599	183
Cheyenne	(D)	(D)	(D)	(D)
Cree	(D)	(D)	(B)	-
Ahtena	(D)	(D)	(B)	-
Apache	210	142	55	63
Siuslaw	(D)	(D)	(D)	(D)
Hidatsa	(D)	(D)	(B)	-
Dakota	80	82	(D)	(D)
Omaha	(D)	(D)	(B)	-
Choctaw	15	26	(B)	-
Keres	(D)	(D)	(D)	(D)
Cherokee	(D)	(D)	(B)	-
Hopi	240	162	(D)	(D)
Pima	3,425	435	385	136
Yaqui	225	81	25	24
Tewa	(D)	(D)	(B)	-
Zuni	35	39	(D)	(D)
American Indian	210	111	30	26
San Carlos	90	83	(B)	-
Hungarian	152	68	42	38
Arabic	1,993	544	972	357
Hebrew	682	171	49	36
African languages	2,311	550	1,121	412
Amharic	490	268	275	232
Berber	35	45	(D)	(D)
Cushite	580	272	430	248
Sudanic	120	137	(D)	(D)
Swahili	490	347	255	242
Bantu	65	60	30	43
Mande	90	96	(B)	-
Fulani	45	74	(B)	-
Kru, Ibo, Yoruba	395	207	70	73
Other and unspecified languages	221	126	53	56
Finnish	90	85	(B)	-
Caucasian	(D)	(D)	(D)	(D)
Syriac	(D)	(D)	(B)	-
Mayan languages	(D)	(D)	(D)	(D)
Quechua	(D)	(D)	(D)	(D)
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.