New Jersey Veterans - total, 2009-2013 by County

Data Item State
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Veterans, 2009-2013 - (Number)
County Value
Atlantic 16,672
Bergen 37,238
Burlington 36,014
Camden 29,784
Cape May 8,802
Cumberland 8,555
Essex 27,099
Gloucester 19,351
Hudson 16,139
Hunterdon 7,291
Mercer 17,493
Middlesex 33,164
Monmouth 35,366
Morris 23,769
Ocean 48,709
Passaic 16,098
Salem 5,548
Somerset 13,757
Sussex 9,652
Union 20,109
Warren 7,042

Value for New Jersey (Number): 437,652

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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