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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

Prostate, 2015-2019

All Races (includes Hispanic), Male, All Ages

Sorted by CI*Rank

Explanation of Column Headers

Objective - The objective of 0.0 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

Waseca County

Le Sueur County

Blue Earth County

Crow Wing County

Mower County

Martin County

Carlton County

Mille Lacs County

Isanti County

Steele County

Brown County

Lyon County

Chisago County

Houston County

Washington County

St. Louis County

Polk County

Winona County

Hennepin County

Stearns County

Sherburne County

Benton County

Goodhue County

Pine County

Rice County

Douglas County

Cass County

Aitkin County

Kandiyohi County

Becker County

Wright County

Morrison County

Scott County

Beltrami County

Carver County

Ramsey County

Freeborn County

Anoka County

Clay County

Dakota County

Otter Tail County

McLeod County

Itasca County

Olmsted County

Big Stone County Chippewa County Clearwater County Cook County Cottonwood County Dodge County Faribault County Fillmore County Grant County Hubbard County Jackson County Kanabec County Kittson County Koochiching County Lac qui Parle County Lake County Lake of the Woods County Lincoln County Mahnomen County Marshall County Meeker County Murray County Nicollet County Nobles County Norman County Pennington County Pipestone County Pope County Red Lake County Redwood County Renville County Rock County Roseau County Sibley County Stevens County Swift County Todd County Traverse County Wabasha County Wadena County Watonwan County Wilkin County Yellow Medicine County

Created by on 07/06/2022 3:45 pm.

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

Data for the following has been suppressed to ensure confidentiality and stability of estimates:
Big Stone, Chippewa, Clearwater, Cook, Cottonwood, Dodge, Faribault, Fillmore, Grant, Hubbard, Jackson, Kanabec, Kittson, Koochiching, Lac qui Parle, Lake, Lake of the Woods, Lincoln, Mahnomen, Marshall, Meeker, Murray, Nicollet, Nobles, Norman, Pennington, Pipestone, Pope, Red Lake, Redwood, Renville, Rock, Roseau, Sibley, Stevens, Swift, Todd, Traverse, Wabasha, Wadena, Watonwan, Wilkin, Yellow Medicine

† 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 1969-2018 US Population Data File is used with mortality data.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

* 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).

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.