Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising and above ![]() |
Priority 2: rising and similar ![]() |
Priority 3: rising and below ![]() |
| Stable Trend |
Priority 4: stable and above ![]() Adams County Benton County Blackford County Clark County Clay County Clinton County DeKalb County Fayette County Fountain County Franklin County Fulton County Grant County Greene County Henry County Howard County Huntington County Jay County Jefferson County Knox County Lawrence County Orange County Pike County Pulaski County Randolph County Rush County Scott County Vermillion County Wabash County White County |
Priority 6: stable and similar ![]() Crawford County LaGrange County Marshall County Martin County Perry County Switzerland County Tipton County Union County Warren County Wells County |
Priority 7: stable and below ![]() |
| Falling Trend |
Priority 5: falling and above ![]() Allen County Cass County Dearborn County Decatur County Delaware County Floyd County Harrison County Jackson County Jasper County Jennings County Kosciusko County Madison County Marion County Miami County Morgan County Noble County Owen County Putnam County Shelby County St. Joseph County Starke County Sullivan County Vanderburgh County Vigo County Washington County Wayne County Whitley County |
Priority 8: falling and similar ![]() Bartholomew County Boone County Brown County Carroll County Daviess County Dubois County Elkhart County Gibson County Hancock County Hendricks County Johnson County LaPorte County Lake County Monroe County Montgomery County Newton County Ohio County Parke County Porter County Posey County Ripley County Spencer County Steuben County Tippecanoe County Warrick County |
Priority 9: falling and below ![]() Hamilton County |
|
Notes: Created by statecancerprofiles.cancer.gov on 03/12/2026 8:09 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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