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.
With a disability, under age 65 years, percent, 2014-2018 - (Percent)
County
Value
Alameda
5.9
Alpine
16.5
Amador
11.5
Butte
12.4
Calaveras
14.8
Colusa
8.7
Contra Costa
7.5
Del Norte
15.6
El Dorado
8.8
Fresno
9.2
Glenn
11.5
Humboldt
12.2
Imperial
9.1
Inyo
7.3
Kern
8.0
Kings
8.7
Lake
13.9
Lassen
12.0
Los Angeles
6.1
Madera
8.9
Marin
5.0
Mariposa
13.2
Mendocino
12.1
Merced
9.7
Modoc
10.1
Mono
4.4
Monterey
5.4
Napa
7.5
Nevada
9.9
Orange
5.0
Placer
6.3
Plumas
14.0
Riverside
7.5
Sacramento
8.2
San Benito
6.2
San Bernardino
7.4
San Diego
6.1
San Francisco
5.9
San Joaquin
8.6
San Luis Obispo
7.0
San Mateo
4.6
Santa Barbara
6.2
Santa Clara
4.5
Santa Cruz
8.0
Shasta
12.2
Sierra
9.8
Siskiyou
13.6
Solano
8.4
Sonoma
8.3
Stanislaus
9.1
Sutter
9.1
Tehama
14.9
Trinity
13.3
Tulare
8.3
Tuolumne
14.3
Ventura
6.9
Yolo
5.9
Yuba
12.3
Value for California (Percent): 6.8%
Data item: With a disability, under age 65 years, percent, 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
In an attempt to capture a variety of characteristics that encompass the definition of disability, the ACS identifies serious difficulty with four basic areas of functioning – hearing, vision, cognition, and ambulation. These functional limitations are supplemented by questions about difficulties with selected activities from the Katz Activities of Daily Living (ADL) and Lawton Instrumental Activities of Daily Living (IADL) scales, namely difficulty bathing and dressing, and difficulty performing errands such as shopping. Overall, the ACS attempts to capture six aspects of disability: (hearing, vision, cognitive, ambulatory, self-care, and independent living); which can be used together to create an overall disability measure, or independently to identify populations with specific disability types. For the complete definition, go to ACS subject definitions "Disability Status."
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 in a state having a bachelor's degree falls somewhere between 20.6 percent and 22.0 percent.
