Mortality > Table
Death Rates Table
Death Rate Report for Indiana by County
Kidney & Renal Pelvis, 2018-2022
All Races (includes Hispanic), Both Sexes, All Ages
Sorted by Recentaapc
County |
2023 Rural-Urban Continuum Codes Φ |
Met Healthy People Objective of ***? |
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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Indiana | N/A | *** | 4.0 (3.8, 4.2) | N/A | 330 | falling | -1.3 (-4.5, -0.8) |
United States | N/A | *** | 3.4 (3.4, 3.5) | N/A | 14,249 | falling | -1.6 (-2.6, -1.2) |
Johnson County | Urban | *** | 2.4 (1.5, 3.6) | 29 (15, 29) | 5 | falling | -12.0 (-29.6, -3.9) |
Hendricks County | Urban | *** | 3.1 (2.1, 4.5) | 27 (7, 29) | 6 | falling | -4.0 (-11.5, -1.8) |
Lake County | Urban | *** | 3.5 (2.8, 4.2) | 21 (10, 28) | 22 | falling | -2.6 (-10.2, -1.4) |
Dearborn County | Urban | *** | 4.7 (2.7, 7.7) | 9 (1, 29) | 3 | stable | -2.1 (-4.2, 0.1) |
Delaware County | Urban | *** | 3.2 (2.1, 4.9) | 25 (5, 29) | 5 | falling | -2.1 (-4.2, -0.1) |
Tippecanoe County | Urban | *** | 4.4 (3.1, 6.1) | 12 (2, 28) | 7 | falling | -1.7 (-3.1, -0.1) |
LaPorte County | Urban | *** | 3.1 (2.0, 4.7) | 28 (6, 29) | 5 | stable | -1.5 (-3.3, 0.2) |
Kosciusko County | Rural | *** | 3.4 (2.0, 5.6) | 22 (3, 29) | 4 | stable | -1.1 (-2.9, 1.0) |
Allen County | Urban | *** | 3.5 (2.8, 4.4) | 20 (8, 28) | 15 | stable | -1.0 (-2.0, 0.1) |
Vanderburgh County | Urban | *** | 4.8 (3.6, 6.2) | 5 (1, 25) | 11 | stable | -1.0 (-2.7, 0.7) |
Wayne County | Rural | *** | 3.6 (2.1, 6.0) | 18 (2, 29) | 3 | stable | -1.0 (-3.0, 1.0) |
Clark County | Urban | *** | 5.5 (3.9, 7.5) | 4 (1, 23) | 8 | stable | -0.9 (-2.3, 0.6) |
Marion County | Urban | *** | 3.9 (3.3, 4.5) | 17 (7, 25) | 37 | stable | -0.8 (-1.6, 0.0) |
Porter County | Urban | *** | 4.7 (3.5, 6.2) | 8 (1, 25) | 11 | stable | -0.8 (-2.7, 1.4) |
Howard County | Urban | *** | 4.2 (2.6, 6.4) | 14 (1, 29) | 5 | stable | -0.7 (-2.7, 1.5) |
Vigo County | Urban | *** | 4.7 (3.2, 6.8) | 7 (1, 28) | 6 | stable | -0.6 (-2.4, 1.2) |
St. Joseph County | Urban | *** | 4.6 (3.6, 5.8) | 10 (2, 24) | 15 | stable | -0.5 (-1.5, 0.6) |
Elkhart County | Urban | *** | 4.3 (3.2, 5.6) | 13 (2, 27) | 11 | stable | 0.0 (-0.8, 0.9) |
Madison County | Urban | *** | 4.1 (2.9, 5.8) | 15 (2, 28) | 7 | stable | 0.8 (-0.8, 2.8) |
Bartholomew County | Urban | *** | 3.1 (1.8, 5.2) | 26 (4, 29) | 3 |
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Boone County | Urban | *** | 4.5 (2.7, 7.1) | 11 (1, 29) | 4 |
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Dubois County | Rural | *** | 6.4 (3.8, 10.4) | 2 (1, 27) | 4 |
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Grant County | Rural | *** | 3.3 (1.9, 5.6) | 23 (3, 29) | 3 |
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Hamilton County | Urban | *** | 3.3 (2.5, 4.3) | 24 (9, 29) | 12 |
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Hancock County | Urban | *** | 3.5 (2.1, 5.7) | 19 (3, 29) | 4 |
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Huntington County | Rural | *** | 6.6 (3.7, 11.1) | 1 (1, 28) | 3 |
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Monroe County | Urban | *** | 3.9 (2.6, 5.8) | 16 (2, 29) | 5 |
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Morgan County | Urban | *** | 5.7 (3.6, 8.6) | 3 (1, 26) | 5 |
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Warrick County | Urban | *** | 4.7 (2.9, 7.4) | 6 (1, 29) | 4 |
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Adams County | Rural | *** |
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Benton County | Urban | *** |
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Blackford County | Rural | *** |
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Brown County | Urban | *** |
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Carroll County | Urban | *** |
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Cass County | Rural | *** |
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Clay County | Urban | *** |
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Clinton County | Rural | *** |
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Crawford County | Rural | *** |
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Daviess County | Rural | *** |
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DeKalb County | Rural | *** |
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Decatur County | Rural | *** |
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Fayette County | Rural | *** |
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Floyd County | Urban | *** |
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Fountain County | Rural | *** |
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Franklin County | Urban | *** |
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Fulton County | Rural | *** |
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Gibson County | Rural | *** |
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Greene County | Rural | *** |
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Harrison County | Urban | *** |
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Henry County | Rural | *** |
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Jackson County | Rural | *** |
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Jasper County | Urban | *** |
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Jay County | Rural | *** |
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Jefferson County | Rural | *** |
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Jennings County | Rural | *** |
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Knox County | Rural | *** |
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LaGrange County | Rural | *** |
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Lawrence County | Rural | *** |
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Marshall County | Rural | *** |
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Martin County | Rural | *** |
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Miami County | Rural | *** |
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Montgomery County | Rural | *** |
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Newton County | Urban | *** |
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Noble County | Rural | *** |
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Ohio County | Urban | *** |
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Orange County | Rural | *** |
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Owen County | Urban | *** |
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Parke County | Rural | *** |
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Perry County | Rural | *** |
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Pike County | Rural | *** |
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Posey County | Urban | *** |
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Pulaski County | Rural | *** |
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Putnam County | Rural | *** |
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Randolph County | Rural | *** |
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Ripley County | Rural | *** |
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Rush County | Rural | *** |
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Scott County | Rural | *** |
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Shelby County | Urban | *** |
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Spencer County | Rural | *** |
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Starke County | Rural | *** |
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Steuben County | Rural | *** |
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Sullivan County | Urban | *** |
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Switzerland County | Rural | *** |
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Tipton County | Urban | *** |
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Union County | Rural | *** |
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Vermillion County | Urban | *** |
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Wabash County | Rural | *** |
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Warren County | Urban | *** |
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Washington County | Urban | *** |
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Wells County | Urban | *** |
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White County | Rural | *** |
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Whitley County | Urban | *** |
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Notes:
Created by statecancerprofiles.cancer.gov on 12/14/2024 5:24 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.
*** No Healthy People 2030 Objective for this cancer.
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.
Created by statecancerprofiles.cancer.gov on 12/14/2024 5:24 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.
*** No Healthy People 2030 Objective for this cancer.
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.