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Death Rates Table

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Death Rate Report for Utah by County

All Cancer Sites, 2013-2017

All Races (includes Hispanic), Male, All Ages

Sorted by Recentaapc
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 descending
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 ascending
Utah Yes 146.3 (143.1, 149.6) N/A 1,641 falling falling trend -1.5 (-1.8, -1.3)
United States No 189.5 (189.2, 189.8) N/A 312,472 falling falling trend -1.8 (-1.9, -1.8)
Sevier County No 183.8 (150.0, 223.0) 2 (1, 16) 21 stable stable trend 0.1 (-0.9, 1.1)
Box Elder County Yes 134.2 (113.9, 156.9) 19 (6, 25) 32 stable stable trend 0.0 (-2.8, 2.8)
San Juan County Yes 144.5 (106.4, 191.5) 12 (1, 25) 10 stable stable trend 0.0 (-1.8, 1.8)
Juab County Yes 146.0 (99.2, 206.3) 10 (1, 25) 7 stable stable trend -0.1 (-2.4, 2.2)
Davis County Yes 137.3 (127.7, 147.5) 17 (10, 22) 158 stable stable trend -0.5 (-2.1, 1.2)
Utah County Yes 140.6 (132.1, 149.4) 15 (9, 21) 216 falling falling trend -0.9 (-1.3, -0.5)
Cache County Yes 123.8 (108.5, 140.5) 22 (12, 25) 49 falling falling trend -1.2 (-1.8, -0.6)
Carbon County No 181.5 (147.1, 221.6) 4 (1, 17) 21 falling falling trend -1.2 (-2.3, -0.1)
Weber County Yes 157.7 (146.5, 169.4) 8 (3, 15) 155 falling falling trend -1.2 (-1.6, -0.8)
Iron County No 172.9 (147.0, 201.9) 5 (1, 17) 34 falling falling trend -1.4 (-2.6, -0.2)
Millard County Yes 109.3 (78.1, 149.5) 25 (8, 25) 8 stable stable trend -1.4 (-3.2, 0.4)
Salt Lake County Yes 154.7 (149.1, 160.5) 9 (5, 15) 623 falling falling trend -1.4 (-1.6, -1.1)
Washington County Yes 134.0 (123.8, 144.8) 20 (10, 23) 138 falling falling trend -1.4 (-1.9, -0.9)
Wasatch County Yes 123.6 (95.0, 157.7) 23 (5, 25) 14 stable stable trend -1.5 (-3.1, 0.1)
Tooele County Yes 158.1 (133.4, 185.5) 7 (2, 21) 33 falling falling trend -1.6 (-2.6, -0.6)
Uintah County Yes 144.3 (116.0, 177.0) 14 (2, 24) 19 falling falling trend -1.6 (-2.9, -0.4)
Grand County No 186.9 (139.0, 246.8) 1 (1, 23) 11 falling falling trend -1.7 (-3.1, -0.2)
Duchesne County Yes 134.2 (101.1, 174.2) 18 (3, 25) 11 stable stable trend -1.8 (-3.5, 0.0)
Sanpete County Yes 144.4 (116.5, 176.8) 13 (2, 24) 20 falling falling trend -2.0 (-3.1, -0.8)
Summit County Yes 111.5 (86.2, 141.3) 24 (10, 25) 17 falling falling trend -2.0 (-3.7, -0.3)
Kane County No 182.6 (131.9, 248.6) 3 (1, 23) 10 stable stable trend -2.1 (-4.4, 0.3)
Garfield County Yes 130.8 (82.6, 200.2) 21 (1, 25) 5 stable stable trend -2.2 (-4.5, 0.2)
Emery County Yes 145.2 (104.1, 197.6) 11 (1, 25) 9 falling falling trend -2.4 (-4.2, -0.5)
Beaver County No 172.9 (114.3, 250.8) 6 (1, 25) 6 falling falling trend -4.7 (-7.6, -1.8)
Morgan County Yes 139.3 (93.9, 198.2) 16 (1, 25) 6
*
*
Daggett County ***
*
*
3 or fewer
*
*
Piute County ***
*
*
3 or fewer
*
*
Rich County ***
*
*
3 or fewer
*
*
Wayne County ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/12/2020 7:44 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 1969-2017 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.

* 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.

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