Ohio Per capita income in the past 12 months (in 2009 inflation-adjusted dollars), 2009-2013 by County

Data Item State
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Per capita money income in past 12 months (2013 dollars), 2009-2013 - (US Dollars)
County Value
Adams 18,235
Allen 22,295
Ashland 21,940
Ashtabula 20,011
Athens 17,019
Auglaize 25,323
Belmont 22,380
Brown 21,206
Butler 26,813
Carroll 21,783
Champaign 23,358
Clark 22,780
Clermont 28,761
Clinton 22,026
Columbiana 21,575
Coshocton 20,526
Crawford 21,478
Cuyahoga 27,423
Darke 22,511
Defiance 22,739
Delaware 40,189
Erie 26,135
Fairfield 27,031
Fayette 20,603
Franklin 28,283
Fulton 24,771
Gallia 21,168
Geauga 34,455
Greene 30,040
Guernsey 20,537
Hamilton 29,681
Hancock 26,139
Hardin 19,626
Harrison 21,029
Henry 23,347
Highland 19,348
Hocking 21,037
Holmes 17,177
Huron 22,257
Jackson 19,405
Jefferson 22,324
Knox 23,878
Lake 29,132
Lawrence 21,365
Licking 26,716
Logan 22,878
Lorain 26,030
Lucas 23,885
Madison 24,014
Mahoning 23,975
Marion 20,624
Medina 30,707
Meigs 18,816
Mercer 24,157
Miami 25,369
Monroe 21,487
Montgomery 24,997
Morgan 21,027
Morrow 22,228
Muskingum 20,775
Noble 18,853
Ottawa 27,979
Paulding 22,714
Perry 19,372
Pickaway 23,851
Pike 20,071
Portage 25,332
Preble 23,374
Putnam 25,481
Richland 21,932
Ross 21,310
Sandusky 22,799
Scioto 19,437
Seneca 22,075
Shelby 24,028
Stark 24,453
Summit 27,818
Trumbull 22,568
Tuscarawas 21,966
Union 28,852
Van Wert 22,790
Vinton 18,101
Warren 33,172
Washington 23,496
Wayne 23,061
Williams 21,350
Wood 26,326
Wyandot 22,382

Value for Ohio (US Dollars): $26,046

Data item: Per capita money income in past 12 months (2013 dollars), 2009-2013

Source: U. S. Census Bureau, American Community Survey, 5-Year Estimates. Updated every year. http://factfinder2.census.gov


Per capita income is the mean money income received in the past 12 months computed for every man, woman, and child in a geographic area. It is derived by dividing the total income of all people 15 years old and over in a geographic area by the total population in that area. Note -- income is not collected for people under 15 years old even though those people are included in the denominator of per capita income. This measure is rounded to the nearest whole dollar.

Money income includes amounts reported separately for wage or salary income; net self-employment income; interest, dividends, or net rental or royalty income or income from estates and trusts; Social Security or Railroad Retirement income; Supplemental Security Income (SSI); public assistance or welfare payments; retirement, survivor, or disability pensions; and all other income.

Receipts from the following sources are not included as income: capital gains, money received from the sale of property (unless the recipient was engaged in the business of selling such property); the value of income “in kind” from food stamps, public housing subsidies, medical care, employer contributions for individuals, etc.; withdrawal of bank deposits; money borrowed; tax refunds; exchange of money between relatives living in the same household; gifts and lump-sum inheritances, insurance payments, and other types of lump-sum receipts.

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 factfinder2.census.gov. The data are period estimates, that is, they represent the characteristics of the population over a specific 60-month data collection period.

Since answers to income questions are frequently based on memory and not on records, many people tended to forget minor or sporadic sources of income and, therefore, underreport their income. Underreporting tends to be more pronounced for income sources that are not derived from earnings, such as public assistance, interest, dividends, and net rental income.

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 Economic Characteristic Facts (listed below), their estimates and margins of error or percents and percent margins of errors can be found on Data Profile - Economic Characteristics. This profile is displayed by geography. Click on the link for "Browse for Data sets (geography picked)" near the top of the Quick facts profile page, click on the link for People QuickLinks/American Community Survey - "Economic Characteristics" for the data profile.

Mean travel time to work (minutes), workers age 16 and over;
Per capita money income in the past 12 months,
Median household income,
Persons below poverty level, percent

More Information: