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Death Rates Table

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Death Rate Report for Ohio by County

Melanoma of the Skin, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Recentaapc
County
 sort alphabetically by name ascending
Met Healthy People Objective of 2.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Ohio No 2.8 (2.7, 2.9) 386 rising rising trend 0.6 (0.2, 1.0)
United States No 2.6 (2.6, 2.6) 9,196 falling falling trend -2.7 (-5.1, -0.2)
Medina County Yes 1.9 (1.2, 3.0) 4 stable stable trend -1.1 (-3.4, 1.1)
Tuscarawas County No 2.7 (1.5, 4.4) 3 stable stable trend -0.9 (-3.4, 1.7)
Cuyahoga County Yes 1.8 (1.5, 2.1) 30 stable stable trend -0.7 (-1.7, 0.4)
Lorain County Yes 1.5 (1.0, 2.2) 6 stable stable trend -0.6 (-2.9, 1.7)
Butler County No 2.9 (2.2, 3.8) 11 stable stable trend -0.5 (-2.0, 0.9)
Licking County No 3.5 (2.4, 5.0) 7 stable stable trend -0.5 (-2.4, 1.3)
Lucas County Yes 2.2 (1.6, 2.9) 11 stable stable trend -0.2 (-1.9, 1.5)
Hamilton County No 2.8 (2.3, 3.3) 25 stable stable trend -0.1 (-1.1, 0.9)
Warren County No 3.6 (2.6, 4.9) 8 stable stable trend -0.1 (-2.4, 2.3)
Columbiana County No 2.5 (1.5, 4.1) 4 stable stable trend -0.0 (-3.6, 3.7)
Fairfield County No 3.8 (2.6, 5.4) 6 stable stable trend 0.3 (-2.4, 3.1)
Summit County Yes 2.4 (1.9, 3.0) 16 stable stable trend 0.3 (-1.5, 2.1)
Richland County No 3.4 (2.3, 5.1) 6 stable stable trend 0.4 (-1.5, 2.3)
Franklin County No 3.0 (2.5, 3.4) 34 stable stable trend 0.6 (-0.5, 1.8)
Trumbull County No 3.0 (2.1, 4.1) 8 stable stable trend 0.6 (-0.8, 2.1)
Geauga County No 3.0 (1.8, 4.9) 4 stable stable trend 1.0 (-1.7, 3.7)
Montgomery County No 2.9 (2.3, 3.5) 19 stable stable trend 1.1 (-0.4, 2.6)
Greene County No 3.6 (2.5, 5.1) 7 stable stable trend 1.2 (-0.7, 3.1)
Stark County No 2.9 (2.2, 3.7) 14 stable stable trend 1.2 (-0.2, 2.7)
Clermont County No 2.7 (1.8, 3.9) 6 stable stable trend 1.5 (-1.2, 4.2)
Mahoning County No 2.5 (1.8, 3.5) 8 stable stable trend 1.5 (-0.6, 3.7)
Portage County No 2.9 (1.8, 4.3) 5 stable stable trend 2.4 (-0.1, 5.1)
Clark County No 4.4 (3.0, 6.3) 7
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Delaware County No 2.7 (1.7, 4.1) 5
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Jefferson County No 4.4 (2.7, 6.9) 4
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Lake County No 4.1 (3.1, 5.3) 12
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Lawrence County No 6.0 (3.6, 9.4) 4
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Logan County No 6.9 (4.0, 11.1) 4
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Miami County No 2.8 (1.6, 4.5) 3
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Muskingum County No 4.0 (2.4, 6.2) 4
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Scioto County No 4.0 (2.4, 6.4) 4
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Wood County No 3.9 (2.6, 5.7) 6
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Adams County ***
*
3 or fewer
*
*
Allen County ***
*
3 or fewer
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*
Ashland County ***
*
3 or fewer
*
*
Ashtabula County ***
*
3 or fewer
*
*
Athens County ***
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3 or fewer
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*
Auglaize County ***
*
3 or fewer
*
*
Belmont County ***
*
3 or fewer
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Brown County ***
*
3 or fewer
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*
Carroll County ***
*
3 or fewer
*
*
Champaign County ***
*
3 or fewer
*
*
Clinton County ***
*
3 or fewer
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*
Coshocton County ***
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3 or fewer
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*
Crawford County ***
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3 or fewer
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Darke County ***
*
3 or fewer
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*
Defiance County ***
*
3 or fewer
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Erie County ***
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3 or fewer
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*
Fayette County ***
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3 or fewer
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*
Fulton County ***
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3 or fewer
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*
Gallia County ***
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3 or fewer
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*
Guernsey County ***
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3 or fewer
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*
Hancock County ***
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3 or fewer
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*
Hardin County ***
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3 or fewer
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*
Harrison County ***
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3 or fewer
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*
Henry County ***
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3 or fewer
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*
Highland County ***
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3 or fewer
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*
Hocking County ***
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3 or fewer
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*
Holmes County ***
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3 or fewer
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*
Huron County ***
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3 or fewer
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*
Jackson County ***
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3 or fewer
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*
Knox County ***
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3 or fewer
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*
Madison County ***
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3 or fewer
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*
Marion County ***
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3 or fewer
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*
Meigs County ***
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3 or fewer
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*
Mercer County ***
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3 or fewer
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*
Monroe County ***
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3 or fewer
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*
Morgan County ***
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3 or fewer
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*
Morrow County ***
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3 or fewer
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*
Noble County ***
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3 or fewer
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*
Ottawa County ***
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3 or fewer
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Paulding County ***
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3 or fewer
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Perry County ***
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3 or fewer
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*
Pickaway County ***
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3 or fewer
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*
Pike County ***
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3 or fewer
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*
Preble County ***
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3 or fewer
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*
Putnam County ***
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3 or fewer
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*
Ross County ***
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3 or fewer
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*
Sandusky County ***
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3 or fewer
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*
Seneca County ***
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3 or fewer
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*
Shelby County ***
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3 or fewer
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*
Union County ***
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3 or fewer
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*
Van Wert County ***
*
3 or fewer
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*
Vinton County ***
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3 or fewer
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*
Washington County ***
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3 or fewer
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Wayne County ***
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3 or fewer
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Williams County ***
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3 or fewer
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*
Wyandot County ***
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3 or fewer
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*
Notes:
Created by statecancerprofiles.cancer.gov on 07/19/2019 4:35 pm.

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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

* 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 availablility, 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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