Rate/Trend Comparison by Cancer Table
| 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 Brown County Carroll County Coshocton County Crawford County Darke County Fayette County Hardin County Harrison County Henry County Morgan County Morrow County Paulding County Perry County Pike County Preble County Shelby County Tuscarawas County Vinton County Williams County |
Priority 6: stable and similar ![]() Ashland County Hancock County Mahoning County Monroe County Van Wert County |
Priority 7: stable and below ![]() |
| Falling Trend |
Priority 5: falling and above ![]() Ashtabula County Athens County Auglaize County Belmont County Champaign County Clark County Clermont County Clinton County Columbiana County Defiance County Fulton County Gallia County Guernsey County Highland County Hocking County Huron County Jackson County Jefferson County Licking County Logan County Lucas County Madison County Marion County Meigs County Montgomery County Muskingum County Ottawa County Pickaway County Portage County Richland County Ross County Sandusky County Scioto County Seneca County Stark County Washington County Wood County |
Priority 8: falling and similar ![]() Allen County Butler County Cuyahoga County Erie County Fairfield County Franklin County Geauga County Greene County Hamilton County Holmes County Knox County Lake County Lorain County Medina County Mercer County Miami County Putnam County Summit County Trumbull County Union County Warren County Wayne County Wyandot County |
Priority 9: falling and below ![]() Delaware County Noble County |
|
Notes: Created by statecancerprofiles.cancer.gov on 03/12/2026 8:38 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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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