About this application: This application provides summary profiles showing frequently requested data items from various US Census Bureau programs. Profiles are available for the nation, states, and counties.
Language other than English spoken at home, percent of persons age 5 years+, 2014-2018 - (Percent)
County
Value
Adams
28.6
Alamosa
30.6
Arapahoe
23.0
Archuleta
11.1
Baca
9.3
Bent
14.0
Boulder
16.0
Broomfield
11.7
Chaffee
7.0
Cheyenne
12.0
Clear Creek
5.4
Conejos
29.9
Costilla
48.6
Crowley
12.8
Custer
6.4
Delta
10.2
Denver
26.5
Dolores
2.0
Douglas
9.2
Eagle
28.1
El Paso
11.9
Elbert
4.3
Fremont
7.4
Garfield
26.3
Gilpin
4.4
Grand
8.6
Gunnison
10.3
Hinsdale
3.2
Huerfano
10.5
Jackson
13.2
Jefferson
10.6
Kiowa
2.2
Kit Carson
14.1
La Plata
10.6
Lake
18.0
Larimer
9.4
Las Animas
14.5
Lincoln
8.5
Logan
7.8
Mesa
7.2
Mineral
3.1
Moffat
13.3
Montezuma
10.8
Montrose
16.6
Morgan
26.6
Otero
14.0
Ouray
10.4
Park
2.8
Phillips
22.7
Pitkin
14.1
Prowers
23.4
Pueblo
12.9
Rio Blanco
7.6
Rio Grande
26.4
Routt
6.8
Saguache
30.1
San Juan
16.4
San Miguel
12.9
Sedgwick
6.5
Summit
15.7
Teller
4.2
Washington
5.0
Weld
19.3
Yuma
19.2
Value for Colorado (Percent): 17.0%
Data item: Language other than English spoken at home, percent of persons age 5 years+, 2014-2018
Sources: U.S. Census Bureau, American Community Survey (ACS) and Puerto Rico Community Survey (PRCS), 5-Year Estimates. The PRCS is part of the Census Bureau's ACS, customized for Puerto Rico. Both Surveys are updated every year.
Definition
Persons were asked to report whether they sometimes or always spoke a language other than English at home. People who knew languages other than English but did not use them at home, who only used them elsewhere, or whose usage was limited to a few expressions or slang were excluded.
Tabulations of language spoken at home include only the responses of persons 5 years old and over. The percentage shown is obtained by dividing the number of persons speaking a language other than English at home by the total number of persons 5 years and over. For the complete definition, go to ACS subject definitions "Language Spoken at Home."
Source and Accuracy
This Fact is based on data collected in the American Community Survey (ACS) and the Puerto Rico Community Survey (PRCS) conducted annually by the U.S. Census Bureau. A sample of over 3.5 million housing unit addresses is interviewed each year over a 12 month period. This Fact (estimate) is based on five years of ACS and PRCS sample data and describes the average value of person, household and housing unit characteristics over this period of collection.
Statistics from all surveys are subject to sampling and nonsampling error. Sampling error is the uncertainty between an estimate based on a sample and the corresponding value that would be obtained if the estimate were based on the entire population (as from a census). Measures of sampling error are provided in the form of margins of error for all estimates included with ACS and PRCS published products. The Census Bureau recommends that data users incorporate this information into their analyses, as sampling error in survey estimates could impact the conclusions drawn from the results. The data for each geographic area are presented together with margins of error at Using margins of error. A more detailed explanation of margins of error and a demonstration of how to use them is provided below.
For more information on sampling and estimation methodology, confidentiality, and sampling and nonsampling errors, please see the Multiyear Accuracy (US) and the Multiyear Accuracy (Puerto Rico) documents at "Documentation - Accuracy of the data."
Margin of Error
As mentioned above, ACS estimates are based on a sample and are subject to sampling error. The margin of error measures the degree of uncertainty caused by sampling error. The margin of error is used with an ACS estimate to construct a confidence interval about the estimate. The interval is formed by adding the margin of error to the estimate (the upper bound) and subtracting the margin of error from the estimate (the lower bound). It is expected with 90 percent confidence that the interval will contain the full population value of the estimate. The following example is for demonstrating purposes only. Suppose the ACS reported that the percentage of people in a state who were 25 years and older with a bachelor's degree was 21.3 percent and that the margin of error associated with this estimate was 0.7 percent. By adding and subtracting the margin of error from the estimate, we calculate the 90-percent confidence interval for this estimate:
Therefore, we can be 90 percent confident that the percent of the population 25 years and older having a bachelor's degree in a state falls somewhere between 20.6 percent and 22.0 percent.
