Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Missouri by County

Prostate, 2012-2016

All Races (includes Hispanic), Male, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 21.8?
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
Missouri Yes 17.8 (17.1, 18.5) 530 falling falling trend -3.5 (-3.7, -3.2)
United States Yes 19.2 (19.1, 19.3) 28,497 stable stable trend -0.8 (-2.1, 0.5)
Bates County No 34.4 (20.0, 55.9) 3 stable stable trend -2.5 (-5.3, 0.5)
Webster County No 26.3 (16.4, 39.7) 5
*
*
St. Louis City No 25.6 (21.5, 30.2) 30 falling falling trend -2.9 (-3.7, -2.1)
Laclede County No 25.0 (15.7, 37.9) 5 falling falling trend -2.8 (-5.0, -0.7)
Stoddard County No 23.1 (14.1, 36.1) 4
*
*
St. Francois County No 22.2 (15.2, 31.2) 7 falling falling trend -3.2 (-4.9, -1.4)
Callaway County No 22.1 (13.4, 34.1) 4 falling falling trend -3.5 (-5.9, -0.9)
Benton County Yes 21.6 (12.8, 36.6) 4
*
*
Polk County Yes 21.1 (12.7, 33.4) 4 falling falling trend -3.0 (-4.9, -1.0)
Newton County Yes 20.4 (13.8, 29.0) 6
*
*
Jackson County Yes 20.2 (17.9, 22.6) 59 falling falling trend -3.1 (-3.7, -2.6)
Cape Girardeau County Yes 20.1 (14.3, 27.5) 8 stable stable trend -1.4 (-3.3, 0.6)
Phelps County Yes 19.7 (12.4, 29.8) 5
*
*
Clay County Yes 19.5 (15.5, 24.0) 18 falling falling trend -3.2 (-4.5, -1.9)
Greene County Yes 19.4 (16.2, 23.0) 27 falling falling trend -2.9 (-3.8, -2.0)
Franklin County Yes 19.3 (14.0, 25.8) 9 falling falling trend -3.7 (-5.6, -1.8)
Barry County Yes 18.5 (11.3, 28.9) 4 falling falling trend -2.5 (-4.9, -0.1)
Jasper County Yes 18.3 (13.4, 24.3) 10 falling falling trend -2.5 (-4.2, -0.7)
Camden County Yes 17.7 (11.8, 26.1) 6 stable stable trend -2.4 (-4.9, 0.2)
Scott County Yes 17.7 (10.2, 28.5) 3 stable stable trend -1.2 (-3.5, 1.1)
St. Charles County Yes 17.4 (14.6, 20.6) 28 falling falling trend -3.5 (-5.0, -2.0)
Lawrence County Yes 16.9 (10.3, 26.4) 4 falling falling trend -3.8 (-6.0, -1.5)
Pettis County Yes 16.6 (9.8, 26.3) 4 falling falling trend -2.5 (-4.7, -0.3)
St. Louis County Yes 16.5 (15.0, 18.2) 89 falling falling trend -3.2 (-3.8, -2.6)
Butler County Yes 16.1 (9.8, 25.1) 4 falling falling trend -3.7 (-6.4, -0.9)
Howell County Yes 15.7 (9.2, 25.0) 4 falling falling trend -3.6 (-6.1, -1.0)
Boone County Yes 15.4 (11.1, 20.7) 9 falling falling trend -4.2 (-5.8, -2.5)
Platte County Yes 15.4 (10.3, 22.0) 6 falling falling trend -4.4 (-6.7, -2.0)
Jefferson County Yes 15.3 (11.6, 19.7) 13 falling falling trend -3.8 (-4.8, -2.7)
Lincoln County Yes 14.7 (8.2, 24.0) 3 stable stable trend -2.1 (-5.0, 0.9)
Buchanan County Yes 14.4 (9.6, 20.6) 6 falling falling trend -4.5 (-6.1, -2.8)
Taney County Yes 14.1 (8.7, 21.7) 4
*
*
Cass County Yes 13.5 (9.3, 18.8) 7 falling falling trend -3.9 (-5.7, -2.0)
Cole County Yes 13.2 (8.3, 19.9) 5 falling falling trend -4.2 (-6.9, -1.5)
Christian County Yes 12.7 (8.0, 19.2) 5 falling falling trend -3.8 (-6.5, -1.0)
Adair County ***
*
3 or fewer
*
*
Andrew County ***
*
3 or fewer
*
*
Atchison County ***
*
3 or fewer
*
*
Audrain County ***
*
3 or fewer
*
*
Barton County ***
*
3 or fewer
*
*
Bollinger County ***
*
3 or fewer
*
*
Caldwell County ***
*
3 or fewer
*
*
Carroll County ***
*
3 or fewer
*
*
Carter County ***
*
3 or fewer
*
*
Cedar County ***
*
3 or fewer
*
*
Chariton County ***
*
3 or fewer
*
*
Clark County ***
*
3 or fewer
*
*
Clinton County ***
*
3 or fewer
*
*
Cooper County ***
*
3 or fewer
*
*
Crawford County ***
*
3 or fewer
*
*
Dade County ***
*
3 or fewer
*
*
Dallas County ***
*
3 or fewer
*
*
Daviess County ***
*
3 or fewer
*
*
DeKalb County ***
*
3 or fewer
*
*
Dent County ***
*
3 or fewer
*
*
Douglas County ***
*
3 or fewer
*
*
Dunklin County ***
*
3 or fewer
*
*
Gasconade County ***
*
3 or fewer
*
*
Gentry County ***
*
3 or fewer
*
*
Grundy County ***
*
3 or fewer
*
*
Harrison County ***
*
3 or fewer
*
*
Henry County ***
*
3 or fewer
*
*
Hickory County ***
*
3 or fewer
*
*
Holt County ***
*
3 or fewer
*
*
Howard County ***
*
3 or fewer
*
*
Iron County ***
*
3 or fewer
*
*
Johnson County ***
*
3 or fewer
*
*
Knox County ***
*
3 or fewer
*
*
Lafayette County ***
*
3 or fewer
*
*
Lewis County ***
*
3 or fewer
*
*
Linn County ***
*
3 or fewer
*
*
Livingston County ***
*
3 or fewer
*
*
Macon County ***
*
3 or fewer
*
*
Madison County ***
*
3 or fewer
*
*
Maries County ***
*
3 or fewer
*
*
Marion County ***
*
3 or fewer
*
*
McDonald County ***
*
3 or fewer
*
*
Mercer County ***
*
3 or fewer
*
*
Miller County ***
*
3 or fewer
*
*
Mississippi County ***
*
3 or fewer
*
*
Moniteau County ***
*
3 or fewer
*
*
Monroe County ***
*
3 or fewer
*
*
Montgomery County ***
*
3 or fewer
*
*
Morgan County ***
*
3 or fewer
*
*
New Madrid County ***
*
3 or fewer
*
*
Nodaway County ***
*
3 or fewer
*
*
Oregon County ***
*
3 or fewer
*
*
Osage County ***
*
3 or fewer
*
*
Ozark County ***
*
3 or fewer
*
*
Pemiscot County ***
*
3 or fewer
*
*
Perry County ***
*
3 or fewer
*
*
Pike County ***
*
3 or fewer
*
*
Pulaski County ***
*
3 or fewer
*
*
Putnam County ***
*
3 or fewer
*
*
Ralls County ***
*
3 or fewer
*
*
Randolph County ***
*
3 or fewer
*
*
Ray County ***
*
3 or fewer
*
*
Reynolds County ***
*
3 or fewer
*
*
Ripley County ***
*
3 or fewer
*
*
Saline County ***
*
3 or fewer
*
*
Schuyler County ***
*
3 or fewer
*
*
Scotland County ***
*
3 or fewer
*
*
Shannon County ***
*
3 or fewer
*
*
Shelby County ***
*
3 or fewer
*
*
St. Clair County ***
*
3 or fewer
*
*
Ste. Genevieve County ***
*
3 or fewer
*
*
Stone County ***
*
3 or fewer
*
*
Sullivan County ***
*
3 or fewer
*
*
Texas County ***
*
3 or fewer
*
*
Vernon County ***
*
3 or fewer
*
*
Warren County ***
*
3 or fewer
*
*
Washington County ***
*
3 or fewer
*
*
Wayne County ***
*
3 or fewer
*
*
Worth County ***
*
3 or fewer
*
*
Wright County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 5:38 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 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