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Interpretation of Death Rates Data

Death Rate Report for Indiana by County

Breast, 2016-2020

All Races (includes Hispanic), Female, All Ages

Sorted by Name

Explanation of Column Headers

Objective - The objective of 15.3 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program

Other Notes

Line by Line Interpretation of the Report


United States

Whitley County

Wells County

Wayne County

Washington County

Warrick County

Wabash County

Vigo County

Vanderburgh County

Tipton County

Tippecanoe County

Steuben County

St. Joseph County

Shelby County

Scott County

Rush County

Randolph County

Putnam County

Porter County

Perry County

Owen County

Orange County

Noble County

Morgan County

Montgomery County

Monroe County

Miami County

Marshall County

Marion County

Madison County

Lawrence County

Lake County

LaPorte County

LaGrange County

Kosciusko County

Knox County

Johnson County

Jennings County

Jefferson County

Jay County

Jasper County

Jackson County

Huntington County

Howard County

Henry County

Hendricks County

Harrison County

Hancock County

Hamilton County

Greene County

Grant County

Gibson County

Fulton County

Franklin County

Floyd County

Fayette County

Elkhart County

Dubois County

Delaware County

Decatur County

Dearborn County

DeKalb County

Daviess County

Clay County

Clark County

Cass County

Boone County

Bartholomew County

Allen County

Adams County

Benton County Blackford County Brown County Carroll County Clinton County Crawford County Fountain County Martin County Newton County Ohio County Parke County Pike County Posey County Pulaski County Ripley County Spencer County Starke County Sullivan County Switzerland County Union County Vermillion County Warren County White County

Created by on 11/30/2023 10:29 pm.

State Cancer Registries may provide more current or more local data.
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.

† 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 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.