Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising ![]() ![]() |
Priority 2: rising ![]() ![]() Black Hawk County Linn County Polk County Scott County |
Priority 3: rising ![]() ![]() |
Stable Trend |
Priority 4: stable ![]() ![]() |
Priority 6: stable ![]() ![]() Dubuque County |
Priority 7: stable ![]() ![]() |
Falling Trend |
Priority 5: falling ![]() ![]() |
Priority 8: falling ![]() ![]() |
Priority 9: falling ![]() ![]() |
Notes: Created by statecancerprofiles.cancer.gov on 10/04/2023 10:51 am. Trend2 Rising ![]() Stable ![]() Falling ![]() Rate Comparison Above ![]() Similar ![]() Below ![]() 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: Adair County, Adams County, Allamakee County, Appanoose County, Audubon County, Benton County, Boone County, Bremer County, Buchanan County, Buena Vista County, Butler County, Calhoun County, Carroll County, Cass County, Cedar County, Cherokee County, Chickasaw County, Clarke County, Clay County, Clayton County, Crawford County, Davis County, Decatur County, Delaware County, Des Moines County, Dickinson County, Emmet County, Fayette County, Floyd County, Franklin County, Fremont County, Greene County, Grundy County, Guthrie County, Hamilton County, Hancock County, Hardin County, Harrison County, Henry County, Howard County, Humboldt County, Ida County, Iowa County, Jackson County, Jasper County, Jefferson County, Jones County, Keokuk County, Kossuth County, Lee County, Louisa County, Lucas County, Lyon County, Madison County, Mahaska County, Mills County, Mitchell County, Monona County, Monroe County, Montgomery County, O'Brien County, Osceola County, Page County, Palo Alto County, Plymouth County, Pocahontas County, Poweshiek County, Ringgold County, Sac County, Shelby County, Sioux County, Story County, Tama County, Taylor County, Union County, Van Buren County, Wapello County, Warren County, Washington County, Wayne County, Winnebago County, Winneshiek County, Worth County, Wright County Trend for the following could not be reliably determined due to small number of deaths per year: Cerro Gordo County, Clinton County, Dallas County, Johnson County, Marion County, Marshall County, Muscatine County, Pottawattamie County, Webster County, Woodbury 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. |