Mortality > Table
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 Franklin County Hamilton County Jefferson County Lucas County Miami County Ross County Stark County Summit County |
Priority 2: rising and similar Allen County Ashtabula County Columbiana County Huron County Jackson County Knox County Ottawa County Preble County Tuscarawas County Warren County Washington County Wayne County |
Priority 3: rising and below |
Stable Trend |
Priority 4: stable and above |
Priority 6: stable and similar Ashland County Belmont County Brown County Butler County Clark County Clermont County Coshocton County Crawford County Darke County Erie County Fairfield County Fulton County Gallia County Greene County Hancock County Hardin County Highland County Hocking County Lake County Lawrence County Licking County Logan County Lorain County Mahoning County Marion County Mercer County Montgomery County Muskingum County Pickaway County Portage County Richland County Sandusky County Scioto County Seneca County Shelby County Trumbull County Union County Van Wert County Williams County Wood County |
Priority 7: stable and below Delaware County |
Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar |
Priority 9: falling and below Medina County |
Notes: Created by statecancerprofiles.cancer.gov on 05/07/2024 6:34 am. 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 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: Harrison County, Morgan County, Noble County, Vinton County Trend for the following could not be reliably determined due to small number of deaths per year: Adams County, Athens County, Auglaize County, Carroll County, Champaign County, Clinton County, Defiance County, Fayette County, Geauga County, Guernsey County, Henry County, Holmes County, Madison County, Meigs County, Monroe County, Morrow County, Paulding County, Perry County, Pike County, Putnam County, Wyandot 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. |