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Rate/Trend Comparison by Cancer Table

Data Options

Death Rate/Trend Comparison by Cancer, 2016-2020

Minnesota Counties versus United States

Prostate

All Races, Male

  Above US Rate Similar to US Rate Below US Rate
Rising
Trend
Priority 1: rising and above

Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend
Priority 4: stable and above

Priority 6: stable and similar

Brown County
Cass County
Dakota County
Goodhue County
Priority 7: stable and below

Falling
Trend
Priority 5: falling and above

Crow Wing County
St. Louis County
Priority 8: falling and similar

Aitkin County
Anoka County
Blue Earth County
Carlton County
Carver County
Chisago County
Clay County
Douglas County
Freeborn County
Hennepin County
Isanti County
Itasca County
Kandiyohi County
Mille Lacs County
Morrison County
Mower County
Olmsted County
Otter Tail County
Pine County
Polk County
Ramsey County
Rice County
Scott County
Sherburne County
Stearns County
Steele County
Waseca County
Washington County
Winona County
Wright County
Priority 9: falling and below

Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 5:09 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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
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, 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

Trend for the following could not be reliably determined due to small number of deaths per year:
Becker County, Beltrami County, Benton County, Houston County, Le Sueur County, Lyon County, Martin County, McLeod County, Meeker County


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.

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