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Death Rates Table

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Death Rate Report for Ohio by County

Prostate, 2012-2016

All Races (includes Hispanic), Male, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 21.8?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Ohio Yes 19.0 (18.5, 19.5) 1,095 stable stable trend -0.7 (-4.9, 3.7)
United States Yes 19.2 (19.1, 19.3) 28,497 stable stable trend -0.8 (-2.1, 0.5)
Holmes County No 28.1 (18.1, 41.4) 5 stable stable trend -0.3 (-2.7, 2.0)
Huron County No 26.6 (18.8, 36.5) 8 stable stable trend -1.6 (-3.8, 0.6)
Hocking County No 24.6 (14.5, 39.2) 4 stable stable trend -2.0 (-4.4, 0.4)
Williams County No 24.4 (15.8, 36.1) 5 falling falling trend -2.2 (-4.1, -0.3)
Clinton County No 23.7 (15.0, 35.6) 5 falling falling trend -3.3 (-5.3, -1.3)
Cuyahoga County No 23.5 (21.9, 25.3) 160 falling falling trend -2.5 (-3.0, -2.1)
Shelby County No 23.3 (15.2, 34.0) 5 stable stable trend -1.7 (-4.0, 0.7)
Defiance County No 23.1 (14.8, 34.6) 5 stable stable trend -1.7 (-4.2, 0.8)
Highland County No 22.9 (14.9, 33.9) 5 falling falling trend -2.3 (-4.4, -0.2)
Fulton County No 22.6 (14.7, 33.5) 5 falling falling trend -3.1 (-5.2, -1.0)
Geauga County No 22.5 (17.1, 29.3) 12 falling falling trend -2.9 (-4.4, -1.3)
Hamilton County No 22.4 (20.3, 24.8) 82 falling falling trend -2.9 (-3.6, -2.3)
Morrow County No 22.4 (12.9, 35.9) 3
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Jackson County No 22.2 (12.3, 36.5) 3 stable stable trend -0.8 (-3.4, 1.8)
Preble County No 21.8 (13.6, 33.2) 4
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Licking County Yes 21.6 (17.0, 26.9) 16 falling falling trend -2.2 (-3.3, -1.0)
Lucas County Yes 21.6 (18.7, 24.7) 43 falling falling trend -2.7 (-3.3, -2.1)
Knox County Yes 21.2 (14.6, 29.8) 7 falling falling trend -3.3 (-5.2, -1.3)
Richland County Yes 20.9 (16.5, 26.3) 15 falling falling trend -3.4 (-4.6, -2.1)
Marion County Yes 20.5 (14.1, 28.6) 7 falling falling trend -3.1 (-5.1, -1.0)
Allen County Yes 20.4 (15.4, 26.6) 11 falling falling trend -3.7 (-5.1, -2.4)
Darke County Yes 20.3 (13.8, 28.9) 6 falling falling trend -2.8 (-4.6, -1.0)
Montgomery County Yes 20.2 (17.9, 22.7) 57 falling falling trend -3.5 (-4.2, -2.8)
Franklin County Yes 20.1 (18.2, 22.2) 87 falling falling trend -3.2 (-3.7, -2.7)
Van Wert County Yes 20.0 (11.4, 32.9) 3
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Lorain County Yes 19.6 (16.6, 23.0) 31 falling falling trend -3.9 (-5.0, -2.7)
Ashtabula County Yes 19.3 (14.4, 25.3) 11 falling falling trend -3.5 (-5.1, -1.9)
Butler County Yes 19.0 (16.0, 22.4) 30 falling falling trend -2.8 (-3.7, -2.0)
Mercer County Yes 18.8 (11.8, 28.7) 5
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Trumbull County Yes 18.8 (15.6, 22.6) 24 falling falling trend -2.7 (-3.8, -1.7)
Medina County Yes 18.7 (14.8, 23.5) 16 falling falling trend -2.2 (-3.9, -0.5)
Ross County Yes 18.4 (12.4, 26.2) 6 falling falling trend -2.1 (-3.9, -0.2)
Hancock County Yes 18.2 (12.7, 25.4) 7 falling falling trend -3.6 (-5.5, -1.6)
Belmont County Yes 18.1 (12.7, 25.2) 7 falling falling trend -3.4 (-5.1, -1.6)
Summit County Yes 18.0 (15.8, 20.4) 51 falling falling trend -3.6 (-4.4, -2.8)
Miami County Yes 18.0 (13.2, 23.9) 10 falling falling trend -4.6 (-5.8, -3.4)
Greene County Yes 17.9 (14.0, 22.6) 15 falling falling trend -3.0 (-4.3, -1.6)
Erie County Yes 17.7 (12.9, 24.0) 9 falling falling trend -1.5 (-2.9, -0.2)
Guernsey County Yes 17.5 (10.3, 28.0) 4 falling falling trend -2.9 (-5.3, -0.5)
Stark County Yes 17.5 (15.1, 20.2) 38 falling falling trend -3.5 (-4.2, -2.8)
Columbiana County Yes 17.5 (13.2, 22.9) 11 falling falling trend -2.7 (-4.2, -1.3)
Wayne County Yes 17.4 (13.0, 22.9) 10 falling falling trend -4.5 (-6.1, -2.9)
Scioto County Yes 17.4 (12.0, 24.3) 7 falling falling trend -2.9 (-4.6, -1.3)
Mahoning County Yes 17.3 (14.4, 20.7) 25 falling falling trend -3.0 (-3.9, -2.2)
Clark County Yes 17.0 (13.1, 21.7) 13 falling falling trend -3.5 (-4.9, -2.0)
Wood County Yes 17.0 (12.4, 22.5) 10 falling falling trend -3.4 (-4.9, -1.9)
Athens County Yes 16.8 (10.0, 26.3) 4 falling falling trend -4.0 (-5.9, -2.0)
Lake County Yes 16.7 (13.7, 20.2) 22 falling falling trend -3.1 (-4.2, -2.1)
Warren County Yes 16.7 (13.0, 21.1) 14 falling falling trend -4.7 (-6.0, -3.2)
Seneca County Yes 16.6 (10.6, 24.7) 5 falling falling trend -2.8 (-4.7, -0.9)
Union County Yes 16.5 (9.2, 26.8) 3 stable stable trend 33.4 (-45.2, 224.9)
Tuscarawas County Yes 16.3 (11.9, 22.0) 9 falling falling trend -4.1 (-5.6, -2.5)
Lawrence County Yes 16.2 (10.5, 23.8) 5 falling falling trend -3.8 (-6.1, -1.5)
Muskingum County Yes 15.8 (11.0, 22.1) 7 falling falling trend -3.6 (-5.2, -1.9)
Portage County Yes 15.3 (11.7, 19.8) 12 falling falling trend -4.8 (-6.5, -3.1)
Delaware County Yes 15.2 (11.1, 20.1) 10 falling falling trend -4.0 (-5.5, -2.5)
Jefferson County Yes 15.0 (10.3, 21.4) 7 falling falling trend -3.6 (-5.1, -2.2)
Auglaize County Yes 14.7 (8.8, 23.2) 4 falling falling trend -4.1 (-6.5, -1.5)
Logan County Yes 14.7 (8.7, 23.4) 4 falling falling trend -3.1 (-5.4, -0.7)
Ashland County Yes 14.4 (8.9, 22.2) 4 falling falling trend -2.3 (-4.3, -0.2)
Sandusky County Yes 14.4 (9.2, 21.6) 5 falling falling trend -4.9 (-6.6, -3.2)
Fairfield County Yes 13.6 (9.9, 18.3) 9 falling falling trend -14.8 (-24.3, -4.0)
Pickaway County Yes 13.2 (7.6, 21.3) 3 stable stable trend -2.5 (-5.3, 0.5)
Crawford County Yes 13.2 (7.7, 21.5) 3 falling falling trend -5.9 (-7.6, -4.1)
Washington County Yes 12.1 (7.5, 18.6) 4 falling falling trend -4.0 (-5.8, -2.1)
Clermont County Yes 12.1 (9.0, 15.9) 11 falling falling trend -4.9 (-6.6, -3.2)
Adams County ***
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3 or fewer
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Brown County ***
*
3 or fewer
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Carroll County ***
*
3 or fewer
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*
Champaign County ***
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3 or fewer
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*
Coshocton County ***
*
3 or fewer
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*
Fayette County ***
*
3 or fewer
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*
Gallia County ***
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3 or fewer
*
*
Hardin County ***
*
3 or fewer
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*
Harrison County ***
*
3 or fewer
*
*
Henry County ***
*
3 or fewer
*
*
Madison County ***
*
3 or fewer
*
*
Meigs County ***
*
3 or fewer
*
*
Monroe County ***
*
3 or fewer
*
*
Morgan County ***
*
3 or fewer
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*
Noble County ***
*
3 or fewer
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*
Ottawa County ***
*
3 or fewer
*
*
Paulding County ***
*
3 or fewer
*
*
Perry County ***
*
3 or fewer
*
*
Pike County ***
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3 or fewer
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*
Putnam County ***
*
3 or fewer
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*
Vinton County ***
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3 or fewer
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*
Wyandot County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 5:21 am.

State Cancer Registries may provide more current or more local data.
Trend
Rising when 95% confidence interval of average annual percent change is above 0.
Stable when 95% confidence interval of average annual percent change includes 0.
Falling when 95% confidence interval of average annual percent change is below 0.

† Death data provided by the National Vital Statistics System public use data file. Death rates calculated by the National Cancer Institute using SEER*Stat. Death rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). The Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal. Population counts for denominators are based on Census populations as modified by NCI.
The 1969-2016 US Population Data File is used with mortality data.
The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).


Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence statistics. When the population size for a denominator is small, the rates may be unstable. A rate is unstable when a small change in the numerator (e.g., only one or two additional cases) has a dramatic effect on the calculated rate.

Data for United States does not include Puerto Rico.

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