Alabama Veterans - total, 2009-2013 by County

Data Item State
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Veterans, 2009-2013 - (Number)
County Value
Autauga 5,922
Baldwin 19,346
Barbour 2,120
Bibb 1,327
Blount 4,540
Bullock 636
Butler 1,497
Calhoun 11,385
Chambers 2,691
Cherokee 2,174
Chilton 3,308
Choctaw 938
Clarke 1,583
Clay 1,076
Cleburne 989
Coffee 6,066
Colbert 4,376
Conecuh 1,101
Coosa 934
Covington 3,433
Crenshaw 1,098
Cullman 6,167
Dale 6,730
Dallas 2,897
DeKalb 4,371
Elmore 8,364
Escambia 2,995
Etowah 8,638
Fayette 1,221
Franklin 1,860
Geneva 2,336
Greene 502
Hale 995
Henry 1,497
Houston 9,254
Jackson 4,000
Jefferson 46,613
Lamar 1,127
Lauderdale 7,000
Lawrence 1,891
Lee 10,045
Limestone 6,964
Lowndes 626
Macon 1,662
Madison 34,203
Marengo 1,462
Marion 2,287
Marshall 7,192
Mobile 33,586
Monroe 1,237
Montgomery 20,008
Morgan 9,518
Perry 670
Pickens 1,610
Pike 2,516
Randolph 1,598
Russell 5,977
Shelby 13,991
St. Clair 6,928
Sumter 706
Talladega 6,691
Tallapoosa 3,631
Tuscaloosa 12,198
Walker 5,353
Washington 1,025
Wilcox 462
Winston 1,721

Value for Alabama (Number): 388,865

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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