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Interpretation of Death Rates Data

Death Rate Report for Minnesota by County

Lung & Bronchus, 2016-2020

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Recentaapc

Explanation of Column Headers

Objective - The objective of 25.1 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

Mahnomen County

Faribault County

Marshall County

McLeod County

Murray County

Norman County

Brown County

Martin County

Wadena County

Cottonwood County

Meeker County

Morrison County

Swift County

Chippewa County

Freeborn County

Isanti County

Jackson County

Kandiyohi County

Redwood County

Sibley County

Clay County

Lyon County

Renville County

Yellow Medicine County

Cass County

Douglas County

Fillmore County

Mille Lacs County

Otter Tail County

Goodhue County

Watonwan County

Le Sueur County

Nicollet County

Pennington County

Aitkin County

Blue Earth County

Houston County

Itasca County

Pipestone County

Steele County

Kanabec County

Mower County

Stearns County

Wabasha County

Nobles County

Beltrami County

Polk County

Carlton County

Chisago County

Lincoln County

Becker County

Pine County

Roseau County

Scott County

Winona County

Benton County

Hubbard County

Sherburne County

Waseca County

Pope County

Olmsted County

St. Louis County

Rice County

Lake County

Washington County

Wright County

Hennepin County

Ramsey County

Crow Wing County

Todd County

Dakota County

Koochiching County

Carver County

Anoka County

Dodge County

Clearwater County

Cook County

Rock County

Wilkin County

Big Stone County Grant County Kittson County Lac qui Parle County Lake of the Woods County Red Lake County Stevens County Traverse County

Created by on 11/28/2023 5:47 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.