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Death Rates Table

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Death Rate Report for Wyoming by County

All Cancer Sites, 2012-2016

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

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
Wyoming Yes 144.7 (140.5, 149.0) 943 falling falling trend -1.8 (-2.1, -1.5)
United States Yes 161.0 (160.8, 161.1) 590,623 falling falling trend -1.5 (-1.6, -1.5)
Campbell County No 177.4 (154.7, 202.2) 53 stable stable trend -0.5 (-1.8, 0.8)
Fremont County No 163.9 (148.1, 181.0) 83 falling falling trend -1.0 (-1.7, -0.2)
Hot Springs County No 163.6 (126.1, 211.5) 14 falling falling trend -1.2 (-2.1, -0.2)
Crook County Yes 157.9 (124.4, 198.7) 16 stable stable trend -1.3 (-2.6, 0.1)
Big Horn County Yes 154.7 (128.6, 185.1) 26 falling falling trend -0.9 (-1.8, -0.1)
Johnson County Yes 154.5 (125.6, 189.1) 21 stable stable trend -1.4 (-2.8, 0.0)
Sheridan County Yes 154.0 (137.0, 172.8) 64 falling falling trend -1.1 (-1.7, -0.5)
Converse County Yes 153.9 (128.0, 183.7) 26 falling falling trend -1.5 (-2.8, -0.2)
Weston County Yes 152.8 (119.4, 193.7) 15 stable stable trend -1.0 (-2.3, 0.3)
Carbon County Yes 152.6 (127.5, 181.4) 28 falling falling trend -1.5 (-2.4, -0.5)
Natrona County Yes 151.7 (140.1, 164.0) 134 falling falling trend -1.6 (-2.0, -1.2)
Washakie County Yes 151.0 (120.7, 187.3) 18 stable stable trend -1.1 (-2.4, 0.2)
Goshen County Yes 148.2 (125.5, 174.4) 31 stable stable trend -0.8 (-1.5, 0.0)
Laramie County Yes 146.9 (136.6, 157.7) 159 falling falling trend -1.4 (-2.0, -0.9)
Platte County Yes 142.1 (115.7, 174.0) 21 falling falling trend -2.0 (-3.0, -1.0)
Sweetwater County Yes 141.4 (124.1, 160.4) 54 falling falling trend -0.9 (-1.7, -0.2)
Uinta County Yes 141.1 (117.0, 168.6) 27 falling falling trend -1.9 (-2.8, -1.0)
Park County Yes 137.0 (121.2, 154.6) 59 falling falling trend -1.3 (-2.0, -0.7)
Niobrara County Yes 130.6 (83.3, 199.5) 5 falling falling trend -6.0 (-10.3, -1.5)
Lincoln County Yes 110.9 (91.1, 133.9) 24 falling falling trend -1.4 (-2.7, -0.2)
Albany County Yes 110.8 (93.9, 129.9) 33 falling falling trend -2.4 (-3.3, -1.6)
Teton County Yes 110.2 (90.2, 133.2) 23 falling falling trend -2.6 (-3.6, -1.6)
Sublette County Yes 89.9 (66.0, 119.7) 10 falling falling trend -3.6 (-5.1, -2.1)
Notes:
Created by statecancerprofiles.cancer.gov on 03/30/2020 4:18 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.


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.

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