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.
Median household income (in 2018 dollars), 2014-2018 - (US Dollars)
County
Value
Alameda
92,574
Alpine
64,688
Amador
61,198
Butte
48,443
Calaveras
58,151
Colusa
56,704
Contra Costa
93,712
Del Norte
45,258
El Dorado
80,582
Fresno
51,261
Glenn
47,395
Humboldt
45,528
Imperial
45,834
Inyo
52,874
Kern
52,479
Kings
53,865
Lake
42,475
Lassen
56,362
Los Angeles
64,251
Madera
52,884
Marin
110,217
Mariposa
51,199
Mendocino
49,233
Merced
50,129
Modoc
45,149
Mono
63,018
Monterey
66,676
Napa
84,753
Nevada
63,240
Orange
85,398
Placer
84,357
Plumas
53,270
Riverside
63,948
Sacramento
63,902
San Benito
81,977
San Bernardino
60,164
San Diego
74,855
San Francisco
104,552
San Joaquin
61,145
San Luis Obispo
70,699
San Mateo
113,776
Santa Barbara
71,657
Santa Clara
116,178
Santa Cruz
78,041
Shasta
50,905
Sierra
48,125
Siskiyou
44,200
Solano
77,609
Sonoma
76,753
Stanislaus
57,387
Sutter
56,955
Tehama
42,899
Trinity
38,497
Tulare
47,518
Tuolumne
56,493
Ventura
84,017
Yolo
65,923
Yuba
52,624
Value for California (US Dollars): $71,228
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
Income in the Past 12 Months - Income of Households: This includes the income of the householder and all other individuals 15 years old and over in the household, whether they are related to the householder or not. Because many households consist of only one person, average household income is usually less than average family income. Although the household income statistics cover the past 12 months, the characteristics of individuals and the composition of households refer to the time of interview. Thus, the income of the household does not include amounts received by individuals who were members of the household during all or part of the past 12 months if these individuals no longer resided in the household at the time of interview. Similarly, income amounts reported by individuals who did not reside in the household during the past 12 months but who were members of the household at the time of interview are included. However, the composition of most households was the same during the past 12 months as at the time of interview.
The median divides the income distribution into two equal parts: one-half of the cases falling below the median income and one-half above the median. For households and families, the median income is based on the distribution of the total number of households and families including those with no income. The median income for individuals is based on individuals 15 years old and over with income. Median income for households, families, and individuals is computed on the basis of a standard distribution. For the complete definition, go to ACS subject definitions "Income in the Past 12 Months."
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.
