Death Rates Table
County![]() |
Met Healthy People Objective of 122.7? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) ![]() |
CI*Rank⋔ (95% Confidence Interval) ![]() |
Average Annual Count![]() |
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval) ![]() |
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Iowa | No | 162.1 (123.3, 208.7) | N/A | 13 |
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United States | No | 128.2 (126.2, 130.2) | N/A | 3,297 |
falling ![]() |
-1.9 (-2.3, -1.4) |
Tama County | No | 289.9 (160.2, 481.2) | N/A | 3 |
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Woodbury County | No | 347.9 (194.2, 564.1) | N/A | 3 |
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Adair County | *** |
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Adams County | *** |
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Allamakee County | *** |
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Appanoose County | *** |
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Audubon County | *** |
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Benton County | *** |
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Black Hawk County | *** |
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Boone County | *** |
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Bremer County | *** |
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Buchanan County | *** |
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Buena Vista County | *** |
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Butler County | *** |
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Calhoun County | *** |
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Carroll County | *** |
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Cass County | *** |
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Cedar County | *** |
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Cerro Gordo County | *** |
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Cherokee County | *** |
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Chickasaw County | *** |
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Clarke County | *** |
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Clay County | *** |
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Clayton County | *** |
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Clinton County | *** |
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Crawford County | *** |
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Dallas County | *** |
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Davis County | *** |
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Decatur County | *** |
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Delaware County | *** |
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Des Moines County | *** |
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Dickinson County | *** |
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Dubuque County | *** |
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Emmet County | *** |
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Fayette County | *** |
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Floyd County | *** |
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Franklin County | *** |
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Fremont County | *** |
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Greene County | *** |
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Grundy County | *** |
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Guthrie County | *** |
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Hamilton County | *** |
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Hancock County | *** |
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Hardin County | *** |
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Harrison County | *** |
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Henry County | *** |
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Howard County | *** |
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Humboldt County | *** |
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Ida County | *** |
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Iowa County | *** |
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Jackson County | *** |
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Jasper County | *** |
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Jefferson County | *** |
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Johnson County | *** |
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Jones County | *** |
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Keokuk County | *** |
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Kossuth County | *** |
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Lee County | *** |
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Linn County | *** |
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Louisa County | *** |
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Lucas County | *** |
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Lyon County | *** |
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Madison County | *** |
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Mahaska County | *** |
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Marion County | *** |
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Marshall County | *** |
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Mills County | *** |
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Mitchell County | *** |
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Monona County | *** |
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Monroe County | *** |
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Montgomery County | *** |
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Muscatine County | *** |
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O'Brien County | *** |
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Osceola County | *** |
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Page County | *** |
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Palo Alto County | *** |
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Plymouth County | *** |
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Pocahontas County | *** |
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Polk County | *** |
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Pottawattamie County | *** |
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Poweshiek County | *** |
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Ringgold County | *** |
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Sac County | *** |
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Scott County | *** |
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Shelby County | *** |
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Sioux County | *** |
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Story County | *** |
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Taylor County | *** |
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Union County | *** |
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Van Buren County | *** |
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Wapello County | *** |
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Warren County | *** |
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Washington County | *** |
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Wayne County | *** |
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Webster County | *** |
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Winnebago County | *** |
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Winneshiek County | *** |
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Worth County | *** |
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Wright County | *** |
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Notes:
Created by statecancerprofiles.cancer.gov on 05/20/2024 9:05 am.
State Cancer Registries may provide more current or more local data.
† 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.
* 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.
Created by statecancerprofiles.cancer.gov on 05/20/2024 9:05 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.
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.
* 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.