Return to Home Mortality > Table

Death Rates Table

Data Options

Death Rate Report for Arizona by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Both Sexes, Ages <65

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 ascending
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 46.3 (45.6, 47.1) 3,173 falling falling trend -1.8 (-3.0, -0.6)
United States Yes 51.3 (51.2, 51.4) 177,172 falling falling trend -1.4 (-1.6, -1.3)
Mohave County Yes 68.8 (63.8, 74.1) 172 falling falling trend -1.1 (-1.6, -0.6)
La Paz County 3 Yes 58.4 (43.9, 76.9) 13 rising rising trend 22.1 (2.6, 45.2)
Cochise County Yes 54.7 (49.0, 60.9) 75 falling falling trend -1.3 (-2.0, -0.6)
Gila County Yes 53.7 (45.0, 63.9) 34 stable stable trend -0.8 (-2.1, 0.6)
Graham County Yes 52.9 (42.4, 65.2) 18 stable stable trend -1.0 (-2.3, 0.3)
Yavapai County Yes 52.5 (48.3, 57.1) 147 falling falling trend -1.6 (-2.2, -0.9)
Pima County Yes 47.9 (45.9, 49.9) 504 falling falling trend -1.7 (-2.0, -1.5)
Pinal County Yes 46.9 (43.8, 50.1) 185 falling falling trend -2.2 (-2.8, -1.6)
Navajo County Yes 45.2 (39.5, 51.6) 49 falling falling trend -1.0 (-1.7, -0.4)
Maricopa County Yes 44.7 (43.8, 45.6) 1,806 falling falling trend -1.1 (-1.9, -0.2)
Apache County Yes 42.3 (35.5, 50.1) 30 stable stable trend -0.9 (-2.1, 0.4)
Yuma County 3 Yes 41.2 (37.0, 45.8) 72 falling falling trend -1.4 (-2.2, -0.5)
Coconino County Yes 36.3 (31.7, 41.3) 50 falling falling trend -1.8 (-2.5, -1.1)
Santa Cruz County Yes 30.8 (23.8, 39.2) 14 falling falling trend -2.2 (-3.5, -0.9)
Greenlee County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 06/05/2020 6:46 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 1969-2016 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.
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.

Return to Top