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Death Rates Table

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Death Rate Report for Idaho by County

All Cancer Sites, 2018-2022

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

Sorted by Count

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 ascending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
Idaho N/A No 470.8 (463.1, 478.7) N/A 2,912 falling falling trend -2.8 (-4.4, -1.5)
United States N/A No 490.4 (489.9, 491.0) N/A 573,761 falling falling trend -1.7 (-1.9, -1.6)
Ada County Urban No 447.4 (432.4, 462.7) 30 (19, 34) 702 falling falling trend -1.3 (-1.6, -1.0)
Kootenai County Urban No 519.3 (494.7, 544.8) 9 (3, 21) 347 falling falling trend -1.0 (-1.3, -0.6)
Canyon County Urban No 495.3 (471.6, 519.9) 15 (6, 26) 339 falling falling trend -0.7 (-1.0, -0.3)
Bonneville County Urban No 448.5 (417.3, 481.4) 29 (14, 36) 157 falling falling trend -0.9 (-1.3, -0.5)
Twin Falls County Urban No 491.8 (456.9, 528.7) 16 (5, 31) 150 falling falling trend -0.8 (-1.1, -0.4)
Bannock County Urban No 518.6 (478.8, 560.7) 11 (2, 25) 132 stable stable trend -0.6 (-1.2, 0.0)
Bonner County Rural No 449.4 (410.6, 490.8) 28 (11, 37) 105 falling falling trend -8.4 (-13.4, -4.5)
Nez Perce County Urban No 503.7 (458.4, 552.4) 14 (2, 31) 93 falling falling trend -5.9 (-12.1, -0.9)
Bingham County Rural No 464.2 (415.2, 517.4) 25 (6, 37) 68 falling falling trend -0.8 (-1.3, -0.3)
Latah County Rural No 470.2 (415.1, 530.6) 23 (4, 37) 55 stable stable trend -0.6 (-1.3, 0.2)
Payette County Rural No 542.1 (478.7, 611.6) 4 (1, 28) 54 falling falling trend -0.9 (-1.4, -0.4)
Idaho County Rural No 535.4 (468.4, 609.6) 7 (1, 31) 49 stable stable trend -0.6 (-1.1, 0.0)
Elmore County Rural No 540.2 (470.7, 616.9) 5 (1, 31) 45 falling falling trend -1.2 (-1.8, -0.5)
Gem County Urban No 477.5 (414.2, 547.8) 19 (2, 37) 42 falling falling trend -1.2 (-1.9, -0.5)
Minidoka County Rural No 471.9 (402.9, 549.2) 22 (2, 38) 34 falling falling trend -1.3 (-1.9, -0.6)
Cassia County Rural No 441.6 (376.3, 515.1) 32 (5, 40) 33 falling falling trend -1.2 (-2.2, -0.2)
Jerome County Urban No 475.2 (402.9, 556.6) 21 (2, 38) 32 falling falling trend -1.3 (-1.9, -0.7)
Shoshone County Rural No 480.2 (406.6, 563.7) 18 (2, 39) 31 falling falling trend -8.7 (-19.5, -2.1)
Jefferson County Urban No 398.0 (335.6, 468.4) 36 (13, 41) 31 stable stable trend -1.0 (-2.0, 0.1)
Blaine County Rural No 294.7 (248.2, 347.4) 42 (37, 42) 30 falling falling trend -2.5 (-3.2, -1.7)
Boundary County Rural No 518.8 (436.5, 612.4) 10 (1, 35) 30 stable stable trend -1.0 (-2.0, 0.2)
Clearwater County Rural No 539.3 (451.9, 639.1) 6 (1, 35) 28 stable stable trend -0.7 (-1.5, 0.3)
Gooding County Rural No 463.9 (388.6, 549.7) 26 (2, 39) 27 stable stable trend -0.8 (-1.6, 0.0)
Washington County Rural No 475.6 (396.9, 565.9) 20 (1, 39) 26 falling falling trend -1.1 (-2.0, -0.1)
Lemhi County Rural No 553.3 (455.0, 666.7) 2 (1, 35) 25 stable stable trend -0.9 (-1.8, 0.1)
Benewah County Rural No 550.7 (452.2, 664.1) 3 (1, 34) 24 stable stable trend -0.5 (-1.5, 0.6)
Valley County Rural No 387.0 (313.8, 472.2) 37 (13, 42) 22 falling falling trend -2.1 (-3.1, -0.8)
Owyhee County Urban No 465.5 (380.2, 564.4) 24 (1, 40) 21 stable stable trend -0.9 (-1.8, 0.1)
Fremont County Rural No 433.1 (352.7, 526.4) 33 (3, 41) 21 stable stable trend -0.4 (-1.1, 0.5)
Madison County Rural No 335.7 (273.9, 407.3) 40 (29, 42) 21 falling falling trend -1.7 (-2.5, -0.9)
Franklin County Urban No 377.3 (300.1, 468.4) 38 (13, 42) 17 stable stable trend -0.8 (-1.9, 0.4)
Adams County Rural No 507.9 (387.5, 655.2) 13 (1, 40) 13 falling falling trend -1.7 (-2.9, -0.4)
Boise County Urban No 323.5 (245.1, 418.9) 41 (24, 42) 13 falling falling trend -2.0 (-3.0, -0.8)
Custer County Rural No 531.7 (403.0, 688.9) 8 (1, 40) 13 stable stable trend 0.2 (-1.0, 1.7)
Teton County Rural No 445.9 (334.7, 580.4) 31 (1, 42) 13
*
*
Power County Rural No 450.6 (342.5, 582.0) 27 (1, 42) 12 stable stable trend -1.2 (-2.6, 0.3)
Bear Lake County Rural No 419.7 (318.2, 544.4) 35 (2, 42) 12 stable stable trend -1.0 (-2.2, 0.3)
Caribou County Rural No 422.2 (315.9, 553.2) 34 (2, 42) 11 stable stable trend 0.2 (-1.0, 1.6)
Lewis County Rural No 513.2 (382.0, 677.4) 12 (1, 41) 10 stable stable trend -0.6 (-1.8, 0.9)
Lincoln County Rural No 482.0 (339.1, 664.7) 17 (1, 42) 8 stable stable trend -0.8 (-2.2, 0.8)
Oneida County Rural No 376.0 (262.5, 523.3) 39 (2, 42) 7 stable stable trend -0.6 (-2.1, 1.2)
Butte County Urban No 589.1 (402.3, 832.8) 1 (1, 41) 7 stable stable trend -0.6 (-2.1, 0.9)
Camas County Rural ***
*
*
3 or fewer
*
*
Clark County Rural ***
*
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 11/03/2024 7:10 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 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.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural-Urban Continuum Codes provided by the USDA.

* 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.

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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