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Rate/Trend Comparison by Cancer Table

Data Options
Death Rate/Trend Comparison by Cancer, 2019-2023

Ohio Counties versus United States

All Cancer Sites

All Races, Male
  Above US Rate Similar to US Rate Below US Rate
Rising
Trend		 Priority 1: rising and above

Lawrence County		 Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend		 Priority 4: stable and above

Adams County
Belmont County
Brown County
Clinton County
Coshocton County
Fairfield County
Fayette County
Hancock County
Hardin County
Harrison County
Henry County
Huron County
Mahoning County
Morgan County
Morrow County
Muskingum County
Ottawa County
Pickaway County
Pike County
Scioto County
Shelby County
Vinton County
Williams County		 Priority 6: stable and similar

Carroll County
Delaware County
Holmes County
Monroe County		 Priority 7: stable and below

Falling
Trend		 Priority 5: falling and above

Allen County
Ashtabula County
Athens County
Auglaize County
Champaign County
Clark County
Clermont County
Columbiana County
Crawford County
Darke County
Defiance County
Gallia County
Guernsey County
Highland County
Hocking County
Jackson County
Jefferson County
Licking County
Lucas County
Marion County
Meigs County
Montgomery County
Paulding County
Perry County
Portage County
Preble County
Richland County
Ross County
Sandusky County
Stark County
Summit County
Tuscarawas County
Washington County
Wood County		 Priority 8: falling and similar

Ashland County
Butler County
Cuyahoga County
Erie County
Franklin County
Fulton County
Greene County
Hamilton County
Knox County
Lake County
Logan County
Lorain County
Madison County
Medina County
Mercer County
Miami County
Putnam County
Seneca County
Trumbull County
Union County
Van Wert County
Warren County
Wayne County
Wyandot County		 Priority 9: falling and below

Geauga County
Noble County
Notes:
Created by statecancerprofiles.cancer.gov on 03/12/2026 8:58 pm.

Trend2
     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.
Rate Comparison
     Above    when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar    when unable to conclude above or below with confidence.
     Below    when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Interpret Rankings provides insight into interpreting cancer 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 do not include Puerto Rico.

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