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Death Rates Table

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Death Rate Report for Minnesota by County

Uterus (Corpus & Uterus, NOS), 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Minnesota *** 4.4 (4.1, 4.8) 154 rising rising trend 0.6 (0.1, 1.1)
United States *** 4.7 (4.7, 4.8) 9,758 rising rising trend 2.3 (1.9, 2.6)
Washington County *** 5.4 (3.8, 7.6) 8
*
*
St. Louis County *** 5.2 (3.6, 7.2) 8 stable stable trend -0.1 (-2.0, 1.9)
Ramsey County *** 5.1 (4.0, 6.3) 17 stable stable trend 1.0 (-0.2, 2.2)
Anoka County *** 5.0 (3.7, 6.7) 10 stable stable trend 1.6 (-0.1, 3.2)
Stearns County *** 4.7 (2.9, 7.3) 4
*
*
Hennepin County *** 4.4 (3.7, 5.1) 31 stable stable trend 0.9 (-0.3, 2.0)
Dakota County *** 4.2 (3.1, 5.6) 10 stable stable trend 1.5 (-0.5, 3.5)
Aitkin County ***
*
3 or fewer
*
*
Becker County ***
*
3 or fewer
*
*
Beltrami County ***
*
3 or fewer
*
*
Benton County ***
*
3 or fewer
*
*
Big Stone County ***
*
3 or fewer
*
*
Blue Earth County ***
*
3 or fewer
*
*
Brown County ***
*
3 or fewer
*
*
Carlton County ***
*
3 or fewer
*
*
Carver County ***
*
3 or fewer
*
*
Cass County ***
*
3 or fewer
*
*
Chippewa County ***
*
3 or fewer
*
*
Chisago County ***
*
3 or fewer
*
*
Clay County ***
*
3 or fewer
*
*
Clearwater County ***
*
3 or fewer
*
*
Cook County ***
*
3 or fewer
*
*
Cottonwood County ***
*
3 or fewer
*
*
Crow Wing County ***
*
3 or fewer
*
*
Dodge County ***
*
3 or fewer
*
*
Douglas County ***
*
3 or fewer
*
*
Faribault County ***
*
3 or fewer
*
*
Fillmore County ***
*
3 or fewer
*
*
Freeborn County ***
*
3 or fewer
*
*
Goodhue County ***
*
3 or fewer
*
*
Grant County ***
*
3 or fewer
*
*
Houston County ***
*
3 or fewer
*
*
Hubbard County ***
*
3 or fewer
*
*
Isanti County ***
*
3 or fewer
*
*
Itasca County ***
*
3 or fewer
*
*
Jackson County ***
*
3 or fewer
*
*
Kanabec County ***
*
3 or fewer
*
*
Kandiyohi County ***
*
3 or fewer
*
*
Kittson County ***
*
3 or fewer
*
*
Koochiching County ***
*
3 or fewer
*
*
Lac qui Parle County ***
*
3 or fewer
*
*
Lake County ***
*
3 or fewer
*
*
Lake of the Woods County ***
*
3 or fewer
*
*
Le Sueur County ***
*
3 or fewer
*
*
Lincoln County ***
*
3 or fewer
*
*
Lyon County ***
*
3 or fewer
*
*
Mahnomen County ***
*
3 or fewer
*
*
Marshall County ***
*
3 or fewer
*
*
Martin County ***
*
3 or fewer
*
*
McLeod County ***
*
3 or fewer
*
*
Meeker County ***
*
3 or fewer
*
*
Mille Lacs County ***
*
3 or fewer
*
*
Morrison County ***
*
3 or fewer
*
*
Mower County ***
*
3 or fewer
*
*
Murray County ***
*
3 or fewer
*
*
Nicollet County ***
*
3 or fewer
*
*
Nobles County ***
*
3 or fewer
*
*
Norman County ***
*
3 or fewer
*
*
Olmsted County ***
*
3 or fewer
*
*
Otter Tail County ***
*
3 or fewer
*
*
Pennington County ***
*
3 or fewer
*
*
Pine County ***
*
3 or fewer
*
*
Pipestone County ***
*
3 or fewer
*
*
Polk County ***
*
3 or fewer
*
*
Pope County ***
*
3 or fewer
*
*
Red Lake County ***
*
3 or fewer
*
*
Redwood County ***
*
3 or fewer
*
*
Renville County ***
*
3 or fewer
*
*
Rice County ***
*
3 or fewer
*
*
Rock County ***
*
3 or fewer
*
*
Roseau County ***
*
3 or fewer
*
*
Scott County ***
*
3 or fewer
*
*
Sherburne County ***
*
3 or fewer
*
*
Sibley County ***
*
3 or fewer
*
*
Steele County ***
*
3 or fewer
*
*
Stevens County ***
*
3 or fewer
*
*
Swift County ***
*
3 or fewer
*
*
Todd County ***
*
3 or fewer
*
*
Traverse County ***
*
3 or fewer
*
*
Wabasha County ***
*
3 or fewer
*
*
Wadena County ***
*
3 or fewer
*
*
Waseca County ***
*
3 or fewer
*
*
Watonwan County ***
*
3 or fewer
*
*
Wilkin County ***
*
3 or fewer
*
*
Winona County ***
*
3 or fewer
*
*
Wright County ***
*
3 or fewer
*
*
Yellow Medicine County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/04/2020 6:28 am.

*** No Healthy People 2020 Objective for this cancer.
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 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 1969-2016 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.

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

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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.

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