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Death Rates Table

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Death Rate Report for Wyoming by County

All Cancer Sites, 2016-2020

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

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
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
Wyoming No 138.0 (134.0, 142.0) N/A 990 falling falling trend -1.7 (-2.0, -1.5)
United States No 149.4 (149.3, 149.6) N/A 599,666 falling falling trend -2.0 (-2.2, -1.8)
Hot Springs County No 175.1 (137.6, 223.0) 1 (1, 16) 16 falling falling trend -0.9 (-1.7, -0.1)
Goshen County No 169.9 (145.2, 198.2) 2 (1, 13) 36 stable stable trend -0.2 (-0.9, 0.4)
Sweetwater County No 161.3 (143.7, 180.5) 3 (1, 13) 67 falling falling trend -0.6 (-1.2, -0.1)
Campbell County No 159.7 (140.6, 180.6) 4 (1, 14) 60 falling falling trend -1.1 (-2.1, -0.1)
Crook County No 159.5 (127.1, 198.7) 5 (1, 19) 18 stable stable trend -1.0 (-2.0, 0.1)
Big Horn County No 152.4 (126.7, 182.3) 6 (1, 19) 27 stable stable trend -0.8 (-1.5, 0.0)
Fremont County No 148.5 (133.9, 164.4) 7 (2, 16) 80 falling falling trend -1.1 (-1.7, -0.5)
Laramie County No 145.8 (136.1, 156.1) 8 (3, 15) 174 falling falling trend -1.5 (-1.9, -1.1)
Weston County No 145.8 (114.5, 184.3) 9 (1, 21) 16 falling falling trend -1.4 (-2.4, -0.4)
Converse County No 143.2 (118.8, 171.4) 10 (1, 20) 26 falling falling trend -1.8 (-2.8, -0.8)
Sheridan County No 142.3 (126.7, 159.4) 11 (3, 18) 65 falling falling trend -1.4 (-1.9, -0.9)
Washakie County No 140.4 (112.4, 174.4) 12 (1, 21) 18 stable stable trend -1.0 (-2.0, 0.1)
Natrona County No 138.6 (127.9, 150.0) 13 (5, 18) 132 falling falling trend -1.7 (-2.0, -1.3)
Platte County No 136.8 (111.9, 167.2) 14 (2, 21) 22 falling falling trend -1.7 (-2.5, -1.0)
Johnson County No 131.5 (105.9, 162.8) 15 (2, 22) 20 falling falling trend -1.7 (-2.8, -0.6)
Uinta County No 127.5 (106.5, 151.5) 16 (4, 21) 29 falling falling trend -1.9 (-2.6, -1.2)
Carbon County No 127.5 (105.0, 153.6) 17 (4, 22) 24 falling falling trend -1.8 (-2.7, -0.9)
Park County No 122.9 (108.3, 139.0) 18 (9, 21) 58 falling falling trend -1.6 (-2.1, -1.1)
Lincoln County Yes 111.8 (93.0, 133.5) 19 (11, 23) 27 falling falling trend -1.3 (-2.2, -0.3)
Albany County Yes 110.4 (94.5, 128.3) 20 (13, 23) 37 falling falling trend -2.3 (-3.0, -1.6)
Niobrara County Yes 99.4 (61.1, 159.3) 21 (3, 23) 4 falling falling trend -6.1 (-9.1, -3.0)
Teton County Yes 93.3 (76.6, 112.7) 22 (18, 23) 23 falling falling trend -2.6 (-3.5, -1.6)
Sublette County Yes 81.8 (61.2, 107.9) 23 (19, 23) 11 falling falling trend -3.7 (-4.9, -2.5)
Notes:
Created by statecancerprofiles.cancer.gov on 01/30/2023 10:40 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 2030 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 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.


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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