Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Arizona by County

Prostate, 2013-2017

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
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Arizona Yes 17.5 (16.9, 18.1) N/A 640 falling falling trend -3.0 (-3.2, -2.7)
United States Yes 19.1 (19.0, 19.2) N/A 29,146 stable stable trend -0.2 (-1.3, 1.0)
Apache County No 27.1 (19.2, 37.0) 1 (1, 8) 8 stable stable trend -1.1 (-2.8, 0.6)
Navajo County No 25.1 (19.2, 32.1) 2 (1, 7) 13 stable stable trend -1.2 (-2.5, 0.1)
Mohave County Yes 21.6 (18.7, 24.9) 3 (1, 8) 42 falling falling trend -2.0 (-2.9, -1.1)
Yavapai County Yes 21.3 (18.6, 24.5) 4 (1, 8) 44 falling falling trend -2.4 (-3.1, -1.6)
Cochise County Yes 19.7 (15.7, 24.4) 5 (2, 10) 17 falling falling trend -3.2 (-4.6, -1.7)
Coconino County Yes 18.6 (13.4, 25.1) 6 (1, 12) 9 falling falling trend -2.3 (-4.0, -0.5)
Pima County Yes 18.5 (17.0, 20.1) 7 (4, 9) 114 falling falling trend -2.9 (-3.2, -2.5)
Santa Cruz County Yes 17.2 (10.4, 26.7) 8 (1, 12) 4
*
*
Gila County Yes 17.0 (11.9, 23.9) 9 (2, 12) 8 falling falling trend -2.8 (-4.5, -1.0)
Maricopa County Yes 16.8 (16.0, 17.7) 10 (6, 10) 324 falling falling trend -3.2 (-3.6, -2.9)
Pinal County Yes 14.3 (12.2, 16.7) 11 (8, 12) 34 falling falling trend -3.7 (-4.7, -2.7)
Yuma County 3 Yes 12.7 (10.2, 15.7) 12 (9, 12) 17 stable stable trend -1.4 (-3.1, 0.3)
Graham County ***
*
*
3 or fewer
*
*
Greenlee County ***
*
*
3 or fewer
*
*
La Paz County 3 ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/12/2020 11:46 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 1969-2017 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

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

3 Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

* 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

Return to Top