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Death Rates Table

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Death Rate Report for Minnesota by County

All Cancer Sites, 2011-2015

All Races (includes Hispanic), Both Sexes, Ages <50

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Minnesota Yes 14.2 (13.7, 14.8) 490 falling falling trend -1.8 (-2.1, -1.5)
United States Yes 16.3 (16.2, 16.3) 33,020 falling falling trend -2.1 (-2.2, -2.0)
Chisago County Yes 9.4 (5.6, 14.8) 4
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Carver County Yes 11.6 (8.3, 15.8) 8 falling falling trend -2.7 (-4.2, -1.2)
Wright County Yes 11.9 (8.9, 15.4) 11 falling falling trend -2.4 (-3.8, -0.8)
Scott County Yes 12.0 (9.2, 15.4) 12 falling falling trend -2.5 (-4.2, -0.7)
Blue Earth County Yes 12.6 (7.7, 19.2) 4 stable stable trend -2.5 (-5.0, 0.1)
Stearns County Yes 12.7 (9.6, 16.5) 11 stable stable trend -1.3 (-2.6, 0.0)
Hennepin County Yes 13.1 (12.0, 14.3) 102 falling falling trend -2.3 (-2.7, -1.9)
Sherburne County Yes 13.8 (10.1, 18.4) 9 falling falling trend -2.4 (-4.6, -0.2)
Kandiyohi County Yes 13.9 (7.9, 22.5) 3 falling falling trend -2.5 (-4.9, -0.1)
Anoka County Yes 14.2 (12.1, 16.5) 34 falling falling trend -1.8 (-2.5, -1.0)
Dakota County Yes 14.3 (12.4, 16.4) 40 falling falling trend -1.5 (-2.4, -0.5)
Steele County Yes 14.6 (8.3, 23.7) 3 stable stable trend -1.6 (-4.1, 0.9)
Washington County Yes 14.6 (12.1, 17.4) 25 stable stable trend -0.6 (-1.8, 0.7)
St. Louis County Yes 14.7 (11.7, 18.3) 17 falling falling trend -1.5 (-2.7, -0.2)
Rice County Yes 14.9 (9.9, 21.4) 6 falling falling trend -2.7 (-4.8, -0.6)
Ramsey County Yes 14.9 (13.1, 17.0) 47 falling falling trend -1.8 (-2.5, -1.1)
Clay County Yes 15.0 (9.8, 22.0) 5
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Isanti County Yes 15.1 (9.0, 23.7) 4
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Benton County Yes 15.3 (9.2, 23.9) 4
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Winona County Yes 16.0 (9.8, 24.4) 4
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Olmsted County Yes 16.2 (12.7, 20.3) 15 falling falling trend -2.6 (-4.0, -1.3)
Itasca County Yes 16.3 (10.0, 25.0) 4 stable stable trend -1.8 (-3.7, 0.0)
Beltrami County Yes 16.5 (9.7, 25.8) 4
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Douglas County Yes 16.5 (9.6, 26.5) 3 stable stable trend 0.1 (-2.0, 2.3)
Carlton County Yes 16.7 (10.0, 26.2) 4 stable stable trend -1.0 (-3.4, 1.3)
Otter Tail County Yes 17.0 (11.0, 24.9) 5 stable stable trend -0.5 (-2.7, 1.8)
Crow Wing County Yes 19.3 (13.4, 26.9) 7 stable stable trend -2.0 (-4.1, 0.1)
Polk County Yes 20.4 (12.2, 31.8) 4 stable stable trend -0.8 (-3.4, 1.8)
Lyon County Yes 20.6 (11.7, 33.3) 3
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Brown County Yes 21.5 (12.2, 35.2) 3
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McLeod County Yes 22.3 (14.4, 33.0) 5 stable stable trend -0.1 (-2.8, 2.7)
Todd County Yes 24.3 (13.8, 39.4) 3 stable stable trend 0.7 (-2.9, 4.4)
Mille Lacs County Yes 25.4 (15.4, 39.2) 4
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Aitkin County ***
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3 or fewer
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Becker County ***
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3 or fewer
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Big Stone County ***
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3 or fewer
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Cass County ***
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3 or fewer
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Chippewa County ***
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3 or fewer
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Clearwater County ***
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3 or fewer
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Cook County ***
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3 or fewer
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Cottonwood County ***
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3 or fewer
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Dodge County ***
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3 or fewer
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Faribault County ***
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3 or fewer
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Fillmore County ***
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3 or fewer
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Freeborn County ***
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3 or fewer
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Goodhue County ***
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3 or fewer
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Grant County ***
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3 or fewer
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Houston County ***
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3 or fewer
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Hubbard County ***
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3 or fewer
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Jackson County ***
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3 or fewer
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Kanabec County ***
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3 or fewer
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Kittson County ***
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3 or fewer
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Koochiching County ***
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3 or fewer
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Lac qui Parle County ***
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3 or fewer
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Lake County ***
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3 or fewer
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Lake of the Woods County ***
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3 or fewer
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Le Sueur County ***
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3 or fewer
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Lincoln County ***
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3 or fewer
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Mahnomen County ***
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3 or fewer
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Marshall County ***
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3 or fewer
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Martin County ***
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3 or fewer
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Meeker County ***
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3 or fewer
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Morrison County ***
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3 or fewer
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Mower County ***
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3 or fewer
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Murray County ***
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3 or fewer
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Nicollet County ***
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3 or fewer
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Nobles County ***
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3 or fewer
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Norman County ***
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3 or fewer
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Pennington County ***
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3 or fewer
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Pine County ***
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3 or fewer
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Pipestone County ***
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3 or fewer
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Pope County ***
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3 or fewer
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Red Lake County ***
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3 or fewer
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Redwood County ***
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3 or fewer
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Renville County ***
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3 or fewer
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Rock County ***
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3 or fewer
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Roseau County ***
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3 or fewer
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Sibley County ***
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3 or fewer
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Stevens County ***
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3 or fewer
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Swift County ***
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3 or fewer
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Traverse County ***
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3 or fewer
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Wabasha County ***
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3 or fewer
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Wadena County ***
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3 or fewer
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Waseca County ***
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3 or fewer
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Watonwan County ***
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3 or fewer
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Wilkin County ***
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3 or fewer
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Yellow Medicine County ***
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3 or fewer
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Notes:
Created by statecancerprofiles.cancer.gov on 07/18/2019 12:51 am.

State Cancer Registries may provide more current or more local data.
Trend
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 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 calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

* 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 availablility, 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.

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