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 Dubois County Howard County Jackson County Orange County |
Priority 6: stable and similar Carroll County Cass County Clay County Daviess County Fountain County Franklin County Gibson County Henry County Jay County Owen County Putnam County Ripley County Rush County Spencer County Vermillion County Wabash County Washington County Wells County White County |
Priority 7: stable and below |
| Falling Trend |
Priority 5: falling and above Floyd County Jefferson County LaPorte County Lake County Marshall County Porter County Posey County |
Priority 8: falling and similar Adams County Allen County Bartholomew County Boone County Clark County Clinton County DeKalb County Dearborn County Decatur County Delaware County Elkhart County Fayette County Grant County Greene County Hancock County Harrison County Hendricks County Huntington County Jasper County Jennings County Johnson County Knox County Kosciusko County LaGrange County Lawrence County Madison County Marion County Monroe County Montgomery County Morgan County Noble County Randolph County Shelby County St. Joseph County Starke County Steuben County Sullivan County Tippecanoe County Vanderburgh County Vigo County Wayne County Whitley County |
Priority 9: falling and below Hamilton County Warrick County |
| Notes: Created by statecancerprofiles.cancer.gov on 06/09/2023 12:00 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 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: Benton County, Blackford County, Brown County, Crawford County, Martin County, Newton County, Ohio County, Perry County, Switzerland County, Union County, Warren County Trend for the following could not be reliably determined due to small number of deaths per year: Fulton County, Miami County, Parke County, Pike County, Pulaski County, Scott 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 does not include Puerto Rico. |
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