Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Minnesota by County

Colon & Rectum, 2012-2016

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 14.5?
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 Yes 12.6 (12.2, 13.1) 798 falling falling trend -2.5 (-2.7, -2.3)
United States Yes 14.2 (14.1, 14.2) 51,932 falling falling trend -1.8 (-2.3, -1.3)
Nobles County No 25.3 (17.2, 36.0) 7 stable stable trend 0.5 (-1.7, 2.8)
Chippewa County No 23.1 (14.4, 36.0) 5 stable stable trend -0.9 (-3.3, 1.6)
Koochiching County No 22.6 (14.7, 34.6) 5 stable stable trend -1.1 (-3.3, 1.3)
Wadena County No 20.9 (13.2, 32.5) 5 stable stable trend -0.8 (-3.1, 1.5)
Jackson County No 19.0 (10.5, 32.8) 4 stable stable trend 1.0 (-1.5, 3.5)
Martin County No 18.5 (12.5, 27.0) 7 falling falling trend -2.2 (-4.2, -0.1)
Wabasha County No 17.9 (11.9, 26.3) 6 stable stable trend -1.0 (-3.0, 1.0)
Faribault County No 17.9 (10.5, 29.3) 4 stable stable trend -1.8 (-4.3, 0.9)
Carlton County No 17.8 (12.7, 24.4) 8 stable stable trend -1.6 (-3.5, 0.3)
Brown County No 17.5 (12.0, 24.9) 7 falling falling trend -2.4 (-4.2, -0.5)
Hubbard County No 17.2 (10.8, 26.3) 5 stable stable trend -1.5 (-4.0, 0.9)
Sibley County No 17.1 (9.8, 28.2) 3
*
*
Dodge County No 16.8 (10.0, 26.5) 4
*
*
Beltrami County No 15.8 (11.2, 21.8) 8 falling falling trend -3.0 (-4.7, -1.3)
Aitkin County No 15.8 (9.4, 26.2) 5 falling falling trend -3.1 (-4.9, -1.1)
Becker County No 15.4 (10.7, 21.8) 7 stable stable trend -1.2 (-2.9, 0.6)
Redwood County Yes 14.5 (8.5, 23.9) 4 falling falling trend -2.3 (-4.0, -0.5)
Itasca County Yes 14.4 (10.6, 19.2) 11 falling falling trend -2.4 (-4.1, -0.7)
Stearns County Yes 14.3 (11.8, 17.1) 24 falling falling trend -1.5 (-2.7, -0.3)
Freeborn County Yes 14.2 (10.1, 19.9) 8 falling falling trend -2.4 (-4.0, -0.8)
Lyon County Yes 13.9 (8.5, 21.6) 4 stable stable trend -0.5 (-2.4, 1.5)
Le Sueur County Yes 13.9 (8.8, 21.0) 5 falling falling trend -2.3 (-4.2, -0.4)
St. Louis County Yes 13.5 (11.6, 15.7) 38 falling falling trend -1.8 (-2.7, -1.0)
Mower County Yes 13.5 (9.4, 18.8) 8 falling falling trend -3.6 (-5.6, -1.5)
Rice County Yes 13.5 (9.9, 17.9) 10 falling falling trend -2.3 (-3.5, -1.0)
Clay County Yes 13.4 (9.7, 18.2) 9 falling falling trend -2.2 (-3.7, -0.6)
Kandiyohi County Yes 13.4 (9.3, 18.8) 8 falling falling trend -2.5 (-4.4, -0.6)
Isanti County Yes 13.3 (8.8, 19.4) 6
*
*
Pine County Yes 13.1 (8.7, 19.4) 6
*
*
Polk County Yes 12.9 (8.6, 18.9) 6 falling falling trend -2.8 (-4.1, -1.4)
Dakota County Yes 12.9 (11.4, 14.6) 53 falling falling trend -2.2 (-2.8, -1.5)
Blue Earth County Yes 12.8 (9.1, 17.4) 9 falling falling trend -2.3 (-4.2, -0.3)
Wright County Yes 12.6 (9.8, 16.0) 14 falling falling trend -2.9 (-4.2, -1.6)
McLeod County Yes 12.6 (8.5, 18.2) 6 falling falling trend -2.2 (-3.9, -0.4)
Ramsey County Yes 12.5 (11.2, 13.9) 72 falling falling trend -2.9 (-3.5, -2.3)
Todd County Yes 12.4 (7.3, 19.9) 4 stable stable trend -1.5 (-3.6, 0.6)
Winona County Yes 12.3 (8.7, 17.0) 8 falling falling trend -2.6 (-3.9, -1.3)
Morrison County Yes 12.1 (7.9, 18.0) 6 falling falling trend -2.5 (-4.7, -0.3)
Mille Lacs County Yes 12.0 (7.5, 18.7) 4 falling falling trend -2.9 (-4.9, -0.8)
Steele County Yes 12.0 (8.0, 17.6) 6 falling falling trend -3.5 (-5.2, -1.8)
Crow Wing County Yes 12.0 (8.9, 15.9) 11 falling falling trend -3.3 (-4.7, -1.9)
Meeker County Yes 12.0 (7.4, 18.8) 4 falling falling trend -3.6 (-5.7, -1.4)
Douglas County Yes 11.9 (8.2, 17.1) 7 falling falling trend -2.6 (-4.2, -1.0)
Fillmore County Yes 11.9 (6.7, 19.8) 3 falling falling trend -2.6 (-4.5, -0.6)
Sherburne County Yes 11.8 (8.4, 16.0) 9 falling falling trend -3.3 (-4.8, -1.7)
Hennepin County Yes 11.6 (10.8, 12.5) 150 falling falling trend -2.5 (-3.0, -2.1)
Goodhue County Yes 11.5 (8.1, 16.1) 8 falling falling trend -3.3 (-5.2, -1.4)
Benton County Yes 11.5 (7.2, 17.5) 5 falling falling trend -3.7 (-5.9, -1.4)
Anoka County Yes 11.5 (9.8, 13.3) 38 falling falling trend -2.0 (-3.3, -0.7)
Otter Tail County Yes 11.3 (8.3, 15.1) 11 falling falling trend -4.9 (-7.3, -2.6)
Nicollet County Yes 11.3 (6.9, 17.5) 4 falling falling trend -3.6 (-5.7, -1.5)
Washington County Yes 11.1 (9.3, 13.2) 28 falling falling trend -3.1 (-3.9, -2.3)
Scott County Yes 11.0 (8.4, 14.1) 13 falling falling trend -3.0 (-4.6, -1.3)
Cass County Yes 10.6 (6.9, 16.2) 5 falling falling trend -2.9 (-4.4, -1.4)
Carver County Yes 9.9 (7.1, 13.3) 9 falling falling trend -3.9 (-5.8, -2.0)
Olmsted County Yes 9.9 (7.8, 12.3) 17 falling falling trend -2.8 (-4.1, -1.5)
Chisago County Yes 8.6 (5.6, 12.7) 5
*
*
Big Stone County ***
*
3 or fewer
*
*
Clearwater County ***
*
3 or fewer
*
*
Cook County ***
*
3 or fewer
*
*
Cottonwood County ***
*
3 or fewer
*
*
Grant County ***
*
3 or fewer
*
*
Houston County ***
*
3 or fewer
*
*
Kanabec County ***
*
3 or fewer
*
*
Kittson County ***
*
3 or fewer
*
*
Lac qui Parle County ***
*
3 or fewer
*
*
Lake County ***
*
3 or fewer
*
*
Lake of the Woods County ***
*
3 or fewer
*
*
Lincoln County ***
*
3 or fewer
*
*
Mahnomen County ***
*
3 or fewer
*
*
Marshall County ***
*
3 or fewer
*
*
Murray County ***
*
3 or fewer
*
*
Norman County ***
*
3 or fewer
*
*
Pennington County ***
*
3 or fewer
*
*
Pipestone County ***
*
3 or fewer
*
*
Pope County ***
*
3 or fewer
*
*
Red Lake County ***
*
3 or fewer
*
*
Renville County ***
*
3 or fewer
*
*
Rock County ***
*
3 or fewer
*
*
Roseau County ***
*
3 or fewer
*
*
Stevens County ***
*
3 or fewer
*
*
Swift County ***
*
3 or fewer
*
*
Traverse County ***
*
3 or fewer
*
*
Waseca County ***
*
3 or fewer
*
*
Watonwan County ***
*
3 or fewer
*
*
Wilkin County ***
*
3 or fewer
*
*
Yellow Medicine County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 01/22/2020 1:14 pm.

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.

Return to Top