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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

Minnesota Counties versus United States

All Cancer Sites

All Races, Male

Sorted by priority index

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

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


Minnesota


Polk County


Brown County


Mille Lacs County


Chippewa County


Cook County


Cottonwood County


Faribault County


Jackson County


Kittson County


Lake of the Woods County


Mahnomen County


Martin County


Norman County


Pipestone County


Red Lake County


Rock County


Sibley County


Stevens County


Traverse County


Wadena County


Watonwan County


Wilkin County


Yellow Medicine County


Murray County


Aitkin County


Anoka County


Becker County


Beltrami County


Benton County


Big Stone County


Blue Earth County


Carlton County


Cass County


Chisago County


Clay County


Clearwater County


Crow Wing County


Dodge County


Douglas County


Fillmore County


Freeborn County


Goodhue County


Grant County


Hennepin County


Houston County


Hubbard County


Isanti County


Itasca County


Kanabec County


Koochiching County


Lake County


Le Sueur County


Lincoln County


Lyon County


Marshall County


McLeod County


Meeker County


Morrison County


Mower County


Nicollet County


Nobles County


Otter Tail County


Pennington County


Pine County


Pope County


Ramsey County


Redwood County


Renville County


Rice County


Roseau County


Sherburne County


St. Louis County


Stearns County


Steele County


Swift County


Wabasha County


Waseca County


Winona County


Wright County


Carver County


Dakota County


Kandiyohi County


Lac qui Parle County


Olmsted County


Scott County


Todd County


Washington County




Notes:
Created by statecancerprofiles.cancer.gov on 04/29/2024 10:32 am.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 4.8.0.0. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).


Interpret Rankings provides insight into interpreting cancer 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.