Mortality > Table
Rate/Trend Comparison by Cancer Table
|Above US Rate||Similar to US Rate||Below US Rate|
|Priority 1: rising and above
|Priority 2: rising and similar
|Priority 3: rising and below
|Priority 4: stable and above
||Priority 6: stable and similar
|Priority 7: stable and below
St. Joseph County
|Priority 5: falling and above
||Priority 8: falling and similar
||Priority 9: falling and below
Created by statecancerprofiles.cancer.gov on 06/09/2023 12:10 pm.
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.
Above when 95% confident the rate is above and Rate Ratio3 > 1.10
Similar when unable to conclude above or below with confidence.
Below when 95% confident the rate is below and Rate Ratio3 < 0.90
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 22.214.171.124. 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:
Adams County, Benton County, Blackford County, Brown County, Carroll County, Clay County, Crawford County, Daviess County, Decatur County, Dubois County, Fayette County, Fountain County, Franklin County, Fulton County, Gibson County, Greene County, Jasper County, Jay County, Jefferson County, Jennings County, Knox County, LaGrange County, Marshall County, Martin County, Miami County, Newton County, Ohio County, Orange County, Owen County, Parke County, Perry County, Pike County, Posey County, Pulaski County, Randolph County, Ripley County, Rush County, Scott County, Spencer County, Starke County, Steuben County, Sullivan County, Switzerland County, Tipton County, Union County, Vermillion County, Wabash County, Warren County, Washington County, Wells County, White County, Whitley County
Trend for the following could not be reliably determined due to small number of deaths per year:
Bartholomew County, Boone County, Cass County, Clark County, Clinton County, DeKalb County, Dearborn County, Delaware County, Grant County, Hamilton County, Hancock County, Harrison County, Henry County, Howard County, Huntington County, Jackson County, Johnson County, Kosciusko County, Lawrence County, Monroe County, Montgomery County, Morgan County, Noble County, Porter County, Putnam County, Shelby County, Tippecanoe County, Warrick 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.