Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above Cuyahoga County Hamilton County |
Priority 2: rising and similar  |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above |
Priority 6: stable and similar Butler County Franklin County Lake County Lorain County Lucas County Mahoning County Montgomery County Portage County Richland County Stark County Summit County Wood County |
Priority 7: stable and below Trumbull County |
| Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar |
Priority 9: falling and below |
| Notes: Created by statecancerprofiles.cancer.gov on 04/25/2024 5:12 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 Version 4.8.0.0. 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 (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 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). Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates: Adams County, Ashland County, Athens County, Auglaize County, Belmont County, Brown County, Carroll County, Champaign County, Clinton County, Columbiana County, Coshocton County, Darke County, Defiance County, Fayette County, Fulton County, Gallia County, Guernsey County, Hardin County, Harrison County, Henry County, Highland County, Hocking County, Holmes County, Huron County, Jackson County, Lawrence County, Logan County, Madison County, Marion County, Meigs County, Mercer County, Monroe County, Morgan County, Morrow County, Noble County, Ottawa County, Paulding County, Perry County, Pickaway County, Pike County, Preble County, Putnam County, Ross County, Scioto County, Seneca County, Shelby County, Union County, Van Wert County, Vinton County, Washington County, Williams County, Wyandot County Trend for the following could not be reliably determined due to small number of deaths per year: Allen County, Ashtabula County, Clark County, Clermont County, Crawford County, Delaware County, Erie County, Fairfield County, Geauga County, Greene County, Hancock County, Jefferson County, Knox County, Licking County, Medina County, Miami County, Muskingum County, Sandusky County, Tuscarawas County, Warren County, Wayne County 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 does not include Puerto Rico. |
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