California Veterans - total, 2009-2013 by County

Data Item State
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Veterans, 2009-2013 - (Number)
County Value
Alameda 63,738
Alpine 177
Amador 4,631
Butte 18,453
Calaveras 5,216
Colusa 1,126
Contra Costa 57,474
Del Norte 2,770
El Dorado 16,792
Fresno 42,944
Glenn 1,514
Humboldt 10,437
Imperial 6,405
Inyo 1,720
Kern 44,753
Kings 10,609
Lake 6,777
Lassen 3,119
Los Angeles 331,642
Madera 8,266
Marin 15,439
Mariposa 2,153
Mendocino 6,798
Merced 11,102
Modoc 996
Mono 850
Monterey 21,572
Napa 9,410
Nevada 10,085
Orange 131,229
Placer 29,780
Plumas 2,276
Riverside 135,139
Sacramento 94,398
San Benito 2,715
San Bernardino 104,576
San Diego 234,211
San Francisco 29,478
San Joaquin 35,277
San Luis Obispo 21,244
San Mateo 32,332
Santa Barbara 26,102
Santa Clara 66,749
Santa Cruz 12,471
Shasta 17,765
Sierra 440
Siskiyou 4,744
Solano 34,948
Sonoma 33,151
Stanislaus 25,311
Sutter 6,740
Tehama 5,608
Trinity 1,648
Tulare 18,289
Tuolumne 5,375
Ventura 47,834
Yolo 10,321
Yuba 6,420

Value for California (Number): 1,893,539

Data item: Veterans, 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year.

Definitions: Veterans are men and women who have served (even for a short time), but are not currently serving, on active duty in the U.S. Army, Navy, Air Force, Marine Corps, or the Coast Guard, or who served in the U.S. Merchant Marine during World War II. People who served in the National Guard or Reserves are classified as veterans only if they were ever called or ordered to active duty, not counting the 4-6 months for initial training or yearly summer camps. All other civilians are classified as nonveterans. While it is possible for 17 year olds to be veterans of the Armed Forces, ACS data products are restricted to the population 18 years and older.

Scope and Methodology:

These data are collected in the American Community Survey (ACS). The data for each geographic area are presented together with margins of error at The data are period estimates, that is, they represent the characteristics of the population over a specific 60-month data collection period.

Margins of Error (MOE). ACS estimates 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 MOE. The MOE used with ACS estimates can be interpreted as providing a 90 percent probability that the interval defined by the estimate plus the MOE and the estimate minus the MOE (the upper and lower confidence bounds) contains the full population value of the estimate.

For example, suppose the 5-year ACS reported the percentage of people 25 years and older in Birmingham, Alabama who had a bachelor's degree was 21.3 percent and that the MOE associated with this estimate is plus or minus (+/-) 0.9 percent. By adding and subtracting the MOE from the estimate, we can calculate the 90-percent confidence interval for this estimate at 21.3%, +/-0.9%:

21.3% - 0.9% = 20.4% = Lower-bound estimate
21.3% + 0.9% = 22.2% = Upper-bound estimate

Therefore, we can be 90 percent confident that the percent of the population in Birmingham, Alabama of age 25 years and older having a bachelor's degree in 2007-2011 falls somewhere between 20.4 percent and 22.2 percent.

For this Fact and other 5-year Social Characteristic Facts (listed below), their estimates and margins of errors or percents and percent margins of errors can be found on Data Profile - Social Characteristics. This profile is displayed b y geography (U.S. and Puerto Rico). Click on the link for "Browse for Data sets (geography picked)", click on the link for People QuickLinks/American Community Survey - "Social Characteristics" for the data profile.

Living in same house 1 year & over, percent;
Foreign born persons, percent;
Language other than English spoken at home, percent age 5 years and over;
High school graduates or higher, percent of persons age 25 years and over;
Bachelor's degree or higher, percent of persons age 25 years and over;
Persons per household.

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