Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising ![]() ![]() St. Clair County |
Priority 2: rising ![]() ![]() La Salle County Madison County Tazewell County Vermilion County Whiteside County Will County Williamson County Winnebago County |
Priority 3: rising ![]() ![]() DuPage County Kane County Lake County McLean County Peoria County |
Stable Trend |
Priority 4: stable ![]() ![]() |
Priority 6: stable ![]() ![]() Adams County Cook County Franklin County Macon County McHenry County |
Priority 7: stable ![]() ![]() Champaign County |
Falling Trend |
Priority 5: falling ![]() ![]() |
Priority 8: falling ![]() ![]() Sangamon County |
Priority 9: falling ![]() ![]() |
Notes: Created by statecancerprofiles.cancer.gov on 07/02/2025 9:24 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 5.3.0. 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: Alexander County, Bond County, Brown County, Calhoun County, Cass County, Clark County, Clay County, Clinton County, Crawford County, Cumberland County, De Witt County, Douglas County, Edgar County, Edwards County, Fayette County, Ford County, Gallatin County, Greene County, Hamilton County, Hancock County, Hardin County, Henderson County, Jasper County, Jersey County, Jo Daviess County, Johnson County, Lawrence County, Livingston County, Logan County, Marshall County, Mason County, Massac County, McDonough County, Menard County, Mercer County, Monroe County, Montgomery County, Moultrie County, Perry County, Piatt County, Pike County, Pope County, Pulaski County, Putnam County, Richland County, Saline County, Schuyler County, Scott County, Shelby County, Stark County, Union County, Wabash County, Warren County, Washington County, Wayne County, White County, Woodford County Trend for the following could not be reliably determined due to small number of deaths per year: Boone County, Bureau County, Carroll County, Christian County, Coles County, DeKalb County, Effingham County, Fulton County, Grundy County, Henry County, Iroquois County, Jackson County, Jefferson County, Kankakee County, Kendall County, Knox County, Lee County, Macoupin County, Marion County, Morgan County, Ogle County, Randolph County, Rock Island County, Stephenson 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. |