Return to Home Incidence > Table > Interpret

Interpretation of Incidence Rates Data

Incidence Rate Report for Illinois by County

Kidney & Renal Pelvis (All Stages^), 2014-2018

All Races (includes Hispanic), Both Sexes, 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



Douglas County6

Mercer County6

Effingham County6

McDonough County6

Mason County6

Stephenson County6

Massac County6

Carroll County6

De Witt County6

Cook County6

Champaign County6

McHenry County6

Piatt County6

Woodford County6

Monroe County6

DuPage County6

Lake County6

McLean County6

Kane County6

Kendall County6

Rock Island County6

Adams County6

Logan County6

Winnebago County6

Morgan County6

Shelby County6

Boone County6

Will County6

Crawford County6

Vermilion County6

Pike County6

Lee County6

Fayette County6

Grundy County6

Jo Daviess County6

DeKalb County6

Ogle County6

Union County6

Bond County6

Livingston County6

Marion County6

Whiteside County6

Jackson County6

Henry County6

Knox County6

Tazewell County6

Peoria County6

Jefferson County6

Jersey County6

Randolph County6

Fulton County6

Bureau County6

Ford County6

Kankakee County6

La Salle County6

Moultrie County6

Saline County6

Perry County6

Clinton County6

Macon County6

Hancock County6

Madison County6

St. Clair County6

Clark County6

Richland County6

Johnson County6

Sangamon County6

Montgomery County6

Menard County6

Wayne County6

Iroquois County6

Warren County6

Hamilton County6

Washington County6

Christian County6

White County6

Franklin County6

Coles County6

Williamson County6

Clay County6

Macoupin County6

Greene County6

Cass County6

Alexander County6 Brown County6 Calhoun County6 Cumberland County6 Edgar County6 Edwards County6 Gallatin County6 Hardin County6 Henderson County6 Jasper County6 Lawrence County6 Marshall County6 Pope County6 Pulaski County6 Putnam County6 Schuyler County6 Scott County6 Stark County6 Wabash County6

Created by on 09/27/2022 5:18 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.
Alexander, Brown, Calhoun, Cumberland, Edgar, Edwards, Gallatin, Hardin, Henderson, Jasper, Lawrence, Marshall, Pope, Pulaski, Putnam, Schuyler, Scott, Stark, Wabash

† 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.