Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above Howard County |
Priority 2: rising and similar  Clark County |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above Daviess County Grant County Henry County Porter County Starke County Vigo County Wabash County Wayne County |
Priority 6: stable and similar Adams County Bartholomew County Blackford County Boone County Carroll County Cass County Clay County Clinton County DeKalb County Decatur County Delaware County Dubois County Elkhart County Fayette County Fountain County Hancock County Harrison County Jackson County Jasper County Jay County Jefferson County Knox County LaGrange County Lawrence County Marshall County Monroe County Montgomery County Morgan County Noble County Orange County Posey County Putnam County Randolph County Ripley County Rush County Shelby County Spencer County Steuben County Sullivan County Vanderburgh County Washington County Wells County White County Whitley County |
Priority 7: stable and below |
| Falling Trend |
Priority 5: falling and above LaPorte County Lake County Madison County |
Priority 8: falling and similar Allen County Dearborn County Floyd County Franklin County Gibson County Greene County Hendricks County Huntington County Jennings County Johnson County Kosciusko County Marion County Owen County Parke County Scott County St. Joseph County Tippecanoe County Warrick County |
Priority 9: falling and below Hamilton County |
|
Notes: Created by statecancerprofiles.cancer.gov on 03/12/2026 1:15 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 > 1.10Similar 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). Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates: Benton County, Brown County, Crawford County, Martin County, Newton County, Ohio County, Perry County, Pulaski County, Switzerland County, Union County, Vermillion County, Warren County Trend for the following could not be reliably determined due to small number of deaths per year: Fulton County, Miami County, Pike County, Tipton 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 do not include Puerto Rico. |
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