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Interpretation of Incidence Rates Data

Incidence Rate Report for Indiana by County

Breast (in situ) (All Stages^), 2014-2018

All Races (includes Hispanic), Female, All Ages

Sorted by Rate

Explanation of Column Headers

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

Incidence Rate (95% Confidence Interval) - The incidence rate is based upon 100,000 people and is an annual rate (or average annual rate) based on the time period indicated. Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population.

Recent Trends - This is an interpretation of the AAPC/APC:

AAPC/APC (95% Confidence Interval) - the change in rate over time


Other Notes


Line by Line Interpretation of the Report


Indiana6


US (SEER+NPCR)1


Boone County6


Hamilton County6


Clay County6


Dubois County6


Hancock County6


Madison County6


Clark County6


Floyd County6


Lake County6


Posey County6


Spencer County6


Monroe County6


Elkhart County6


White County6


Marion County6


St. Joseph County6


Porter County6


Vigo County6


Franklin County6


Jennings County6


Huntington County6


Warrick County6


Morgan County6


Noble County6


Tippecanoe County6


Montgomery County6


Delaware County6


Johnson County6


Hendricks County6


Owen County6


Dearborn County6


Jefferson County6


Fayette County6


Harrison County6


Orange County6


Putnam County6


Scott County6


Lawrence County6


Gibson County6


Ripley County6


Kosciusko County6


Howard County6


Bartholomew County6


Marshall County6


Allen County6


LaPorte County6


Henry County6


Clinton County6


Vanderburgh County6


LaGrange County6


Starke County6


Miami County6


Wabash County6


Jasper County6


Randolph County6


Shelby County6


Grant County6


Jackson County6


Whitley County6


Steuben County6


Cass County6


DeKalb County6


Daviess County6


Greene County6


Knox County6


Wayne County6


Adams County6 Benton County6 Blackford County6 Brown County6 Carroll County6 Crawford County6 Decatur County6 Fountain County6 Fulton County6 Jay County6 Martin County6 Newton County6 Ohio County6 Parke County6 Perry County6 Pike County6 Pulaski County6 Rush County6 Sullivan County6 Switzerland County6 Tipton County6 Union County6 Vermillion County6 Warren County6 Washington County6 Wells County6

Notes:
Created by statecancerprofiles.cancer.gov on 07/06/2022 3:43 pm.

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

Data cannot be shown for the following areas. For more information on what areas are suppressed or not available, please refer to the table.
Adams, Benton, Blackford, Brown, Carroll, Crawford, Decatur, Fountain, Fulton, Jay, Martin, Newton, Ohio, Parke, Perry, Pike, Pulaski, Rush, Sullivan, Switzerland, Tipton, Union, Vermillion, Warren, Washington, Wells

† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2018 US Population Data File is used for SEER and NPCR incidence rates.
Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
* 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).

Source: SEER and NPCR data. For more specific information please see the table.

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.