Alaska Veterans - total, 2009-2013 by County

Data Item State
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Veterans, 2009-2013 - (Number)
County Value
Aleutians East Borough 99
Aleutians West Census Area 354
Anchorage Municipality 30,292
Bethel Census Area 909
Bristol Bay Borough 91
Denali Borough 198
Dillingham Census Area 214
Fairbanks North Star Borough 11,048
Haines Borough 282
Hoonah-Angoon Census Area 172
Juneau City and Borough 2,739
Kenai Peninsula Borough 6,137
Ketchikan Gateway Borough 1,421
Kodiak Island Borough 1,097
Lake and Peninsula Borough 79
Matanuska-Susitna Borough 9,600
Nome Census Area 600
North Slope Borough 604
Northwest Arctic Borough 367
Petersburg Census Area 345
Prince of Wales-Hyder Census Area 492
Sitka City and Borough 757
Skagway Municipality 47
Southeast Fairbanks Census Area 973
Valdez-Cordova Census Area 895
Wade Hampton Census Area 351
Wrangell City and Borough 364
Yakutat City and Borough 58
Yukon-Koyukuk Census Area 419

Value for Alaska (Number): 71,004

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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