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Death Rates Table

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Death Rate Report for Wyoming by County

All Cancer Sites, 2018-2022

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Ruralurban

County
 sort alphabetically by name ascending
2023 Rural-Urban Continuum Codes Φ
 sort by rural urban descending
Met Healthy People Objective of 122.7?
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 descending
Wyoming N/A No 489.2 (475.6, 503.2) N/A 1,012 stable stable trend 0.8 (-1.3, 2.9)
United States N/A No 490.4 (489.9, 491.0) N/A 573,761 falling falling trend -1.7 (-1.9, -1.6)
Albany County Rural No 422.1 (363.5, 487.4) 17 (9, 22) 39 falling falling trend -1.9 (-2.6, -1.2)
Big Horn County Rural No 513.1 (427.3, 611.1) 10 (1, 20) 26 stable stable trend -0.7 (-1.6, 0.1)
Campbell County Rural No 505.0 (443.3, 572.6) 11 (2, 18) 57 stable stable trend -1.4 (-2.4, 0.0)
Carbon County Rural No 387.3 (314.9, 471.4) 20 (10, 23) 21 falling falling trend -1.7 (-2.8, -0.7)
Converse County Rural No 472.7 (390.1, 567.6) 15 (2, 22) 24 falling falling trend -1.8 (-2.7, -0.7)
Crook County Rural No 557.4 (445.4, 689.2) 5 (1, 19) 18 stable stable trend -0.7 (-1.7, 0.4)
Fremont County Rural No 528.3 (477.5, 583.0) 9 (2, 15) 82 falling falling trend -1.0 (-1.6, -0.3)
Goshen County Rural No 597.9 (510.7, 695.8) 2 (1, 14) 35 stable stable trend -0.1 (-0.8, 0.6)
Hot Springs County Rural No 623.7 (487.3, 787.3) 1 (1, 17) 16 stable stable trend -0.8 (-1.7, 0.2)
Johnson County Rural No 416.2 (334.0, 513.1) 18 (7, 23) 18 falling falling trend -1.8 (-2.9, -0.6)
Lincoln County Rural No 392.0 (326.3, 466.8) 19 (11, 23) 27 falling falling trend -1.4 (-2.3, -0.3)
Niobrara County Rural No 365.9 (228.1, 560.5) 22 (3, 23) 4 falling falling trend -5.3 (-18.1, -3.0)
Park County Rural No 425.4 (377.5, 477.8) 16 (11, 22) 61 falling falling trend -1.6 (-2.1, -1.0)
Platte County Rural No 582.5 (486.5, 692.3) 3 (1, 16) 27 stable stable trend -0.9 (-1.9, 0.1)
Sheridan County Rural No 475.7 (423.8, 532.2) 13 (5, 19) 64 falling falling trend -1.4 (-2.0, -0.7)
Sublette County Rural No 386.4 (298.6, 491.8) 21 (9, 23) 14 falling falling trend -3.1 (-4.3, -1.9)
Sweetwater County Rural No 549.2 (489.0, 614.6) 6 (1, 15) 66 stable stable trend -0.5 (-1.1, 0.1)
Teton County Rural No 314.8 (258.0, 380.1) 23 (19, 23) 23 falling falling trend -2.7 (-3.5, -1.6)
Uinta County Rural No 473.6 (397.8, 559.6) 14 (3, 21) 30 falling falling trend -1.6 (-2.2, -0.8)
Washakie County Rural No 528.3 (427.6, 646.2) 8 (1, 20) 20 stable stable trend -0.9 (-2.2, 0.6)
Weston County Rural No 573.3 (457.1, 710.4) 4 (1, 18) 18 stable stable trend -1.0 (-2.1, 0.1)
Laramie County Urban No 541.3 (506.7, 577.7) 7 (2, 12) 188 falling falling trend -1.1 (-1.6, -0.5)
Natrona County Urban No 494.7 (456.9, 534.8) 12 (5, 17) 134 falling falling trend -1.3 (-1.7, -0.9)
Notes:
Created by statecancerprofiles.cancer.gov on 11/10/2024 2:08 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.

⋔ 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.


Φ Rural-Urban Continuum Codes provided by the USDA.


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.

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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