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) ![]() |
---|---|---|---|---|---|---|
Kansas | Yes | 49.8 (48.7, 51.0) | N/A | 1,544 |
falling ![]() |
-1.4 (-1.5, -1.2) |
United States | Yes | 47.3 (47.2, 47.4) | N/A | 168,038 |
falling ![]() |
-2.3 (-2.6, -2.0) |
Kingman County | No | 161.6 (119.9, 213.8) | 1 (1, 3) | 12 |
rising ![]() |
19.6 (6.6, 34.2) |
Edwards County | Yes | 115.5 (62.3, 197.6) | 2 (1, 59) | 3 |
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Republic County | Yes | 84.4 (47.4, 140.3) | 3 (1, 65) | 4 |
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Greenwood County | Yes | 78.5 (49.1, 120.9) | 4 (2, 62) | 6 |
stable ![]() |
-1.3 (-3.0, 0.5) |
Cherokee County | Yes | 74.8 (59.2, 93.5) | 5 (2, 38) | 18 |
stable ![]() |
0.3 (-0.6, 1.2) |
Geary County | Yes | 70.4 (54.1, 89.7) | 6 (2, 50) | 13 |
stable ![]() |
-0.7 (-1.8, 0.4) |
Cowley County | Yes | 69.8 (57.6, 83.8) | 7 (2, 40) | 26 |
stable ![]() |
0.0 (-0.7, 0.8) |
Russell County | Yes | 68.8 (40.9, 109.0) | 8 (2, 66) | 4 |
stable ![]() |
-1.5 (-3.5, 0.6) |
Franklin County | Yes | 66.6 (53.7, 82.0) | 9 (3, 47) | 20 |
falling ![]() |
-0.9 (-1.8, -0.1) |
Grant County | Yes | 65.0 (40.7, 98.8) | 10 (2, 66) | 5 |
stable ![]() |
-0.6 (-2.2, 1.0) |
Wilson County | Yes | 64.8 (43.2, 94.7) | 11 (2, 64) | 6 |
stable ![]() |
-0.9 (-2.4, 0.5) |
Morris County | Yes | 64.4 (35.9, 107.7) | 12 (2, 66) | 4 |
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Nemaha County | Yes | 64.1 (43.4, 91.7) | 13 (2, 64) | 7 |
stable ![]() |
-0.3 (-2.3, 1.7) |
Gray County | Yes | 64.0 (36.7, 103.8) | 14 (2, 66) | 4 |
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Crawford County | Yes | 63.9 (52.7, 76.9) | 15 (4, 47) | 25 |
falling ![]() |
-1.0 (-1.8, -0.2) |
Wyandotte County | Yes | 63.4 (58.0, 69.2) | 16 (7, 33) | 106 |
falling ![]() |
-1.5 (-1.9, -1.0) |
Harper County | Yes | 63.2 (36.6, 103.4) | 17 (2, 66) | 4 |
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Clay County | Yes | 62.3 (41.0, 92.3) | 18 (2, 66) | 6 |
stable ![]() |
-0.4 (-2.0, 1.2) |
Neosho County | Yes | 61.4 (45.3, 81.9) | 19 (3, 60) | 11 |
falling ![]() |
-1.1 (-2.0, -0.2) |
Labette County | Yes | 61.2 (46.7, 79.1) | 20 (3, 59) | 14 |
stable ![]() |
-0.4 (-1.5, 0.7) |
Doniphan County | Yes | 59.8 (38.9, 89.4) | 21 (2, 66) | 6 |
stable ![]() |
-0.9 (-2.7, 1.0) |
Stevens County | Yes | 58.8 (33.7, 96.6) | 22 (2, 66) | 3 |
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Montgomery County | Yes | 58.2 (47.0, 71.4) | 23 (5, 56) | 21 |
falling ![]() |
-1.3 (-2.1, -0.5) |
Osage County | Yes | 57.3 (42.3, 76.7) | 24 (4, 63) | 11 |
stable ![]() |
-1.3 (-2.6, 0.1) |
Coffey County | Yes | 56.7 (36.1, 86.1) | 25 (3, 66) | 5 |
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Linn County | Yes | 56.5 (38.3, 81.8) | 26 (2, 66) | 7 |
stable ![]() |
-0.4 (-2.0, 1.2) |
Shawnee County | Yes | 56.4 (51.6, 61.6) | 27 (14, 45) | 112 |
falling ![]() |
-0.9 (-1.3, -0.5) |
Marion County | Yes | 56.3 (38.9, 79.8) | 28 (3, 65) | 8 |
stable ![]() |
-1.3 (-3.0, 0.4) |
Sedgwick County | Yes | 56.2 (53.3, 59.2) | 29 (17, 41) | 305 |
falling ![]() |
-1.2 (-1.4, -0.9) |
Reno County | Yes | 56.1 (48.1, 65.2) | 30 (9, 53) | 39 |
falling ![]() |
-0.9 (-1.6, -0.3) |
Scott County | Yes | 55.3 (30.8, 94.0) | 31 (2, 66) | 3 |
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Bourbon County | Yes | 54.8 (38.0, 76.6) | 32 (3, 66) | 8 |
falling ![]() |
-1.7 (-3.2, -0.1) |
Atchison County | Yes | 54.4 (38.7, 74.5) | 33 (5, 65) | 9 |
falling ![]() |
-1.9 (-3.2, -0.6) |
Seward County | Yes | 54.4 (40.3, 71.6) | 34 (5, 64) | 10 |
stable ![]() |
-0.9 (-1.9, 0.1) |
Rooks County | Yes | 54.3 (30.1, 93.2) | 35 (2, 66) | 3 |
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Sumner County | Yes | 53.8 (41.7, 68.8) | 36 (7, 62) | 16 |
falling ![]() |
-2.0 (-2.9, -1.0) |
Harvey County | Yes | 53.5 (42.8, 66.2) | 37 (8, 61) | 20 |
stable ![]() |
-1.0 (-1.9, 0.0) |
Ellis County | Yes | 53.4 (41.2, 68.2) | 38 (7, 63) | 14 |
stable ![]() |
-1.3 (-2.7, 0.1) |
Mitchell County | Yes | 52.2 (28.5, 88.9) | 39 (2, 66) | 3 |
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Anderson County | Yes | 52.1 (30.8, 83.1) | 40 (3, 66) | 4 |
stable ![]() |
-1.7 (-4.0, 0.6) |
Allen County | Yes | 51.6 (35.4, 73.3) | 41 (5, 66) | 7 |
falling ![]() |
-1.4 (-2.6, -0.1) |
Ottawa County | Yes | 50.6 (27.4, 86.9) | 42 (2, 66) | 3 |
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Saline County | Yes | 50.5 (42.4, 59.7) | 43 (14, 61) | 30 |
falling ![]() |
-1.2 (-2.0, -0.4) |
Marshall County | Yes | 50.4 (32.8, 75.4) | 44 (4, 66) | 6 |
stable ![]() |
0.1 (-1.4, 1.6) |
Lyon County | Yes | 50.4 (39.6, 63.3) | 45 (11, 63) | 16 |
stable ![]() |
-0.8 (-1.9, 0.3) |
Butler County | Yes | 48.8 (41.7, 56.9) | 46 (19, 60) | 36 |
falling ![]() |
-1.3 (-1.9, -0.8) |
Ellsworth County | Yes | 48.6 (27.6, 81.4) | 47 (3, 66) | 4 |
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Leavenworth County | Yes | 48.0 (41.7, 55.0) | 48 (23, 60) | 44 |
falling ![]() |
-1.4 (-2.0, -0.9) |
Brown County | Yes | 47.3 (30.8, 70.9) | 49 (5, 66) | 6 |
stable ![]() |
-1.3 (-3.1, 0.5) |
Pawnee County | Yes | 47.1 (28.3, 76.7) | 50 (4, 66) | 4 |
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McPherson County | Yes | 46.8 (36.3, 59.7) | 51 (14, 65) | 16 |
stable ![]() |
-0.7 (-1.7, 0.4) |
Miami County | Yes | 46.7 (37.5, 57.6) | 52 (18, 65) | 20 |
falling ![]() |
-1.7 (-2.7, -0.7) |
Rice County | Yes | 45.6 (27.6, 71.5) | 53 (4, 66) | 5 |
stable ![]() |
-1.3 (-3.0, 0.4) |
Pottawatomie County | Yes | 44.9 (33.3, 59.3) | 54 (14, 66) | 11 |
falling ![]() |
-1.7 (-3.0, -0.3) |
Barton County | Yes | 43.5 (32.9, 56.7) | 55 (17, 66) | 13 |
stable ![]() |
-1.1 (-2.4, 0.2) |
Wabaunsee County | Yes | 43.4 (24.9, 72.3) | 56 (5, 66) | 4 |
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Jefferson County | Yes | 42.7 (30.6, 58.5) | 57 (15, 66) | 10 |
falling ![]() |
-2.3 (-3.8, -0.8) |
Finney County | Yes | 42.3 (32.8, 53.6) | 58 (22, 66) | 14 |
falling ![]() |
-2.4 (-3.4, -1.4) |
Dickinson County | Yes | 41.8 (30.6, 56.5) | 59 (19, 66) | 10 |
falling ![]() |
-1.5 (-2.8, -0.2) |
Cloud County | Yes | 41.0 (23.7, 66.9) | 60 (5, 66) | 4 |
stable ![]() |
-0.5 (-2.5, 1.4) |
Douglas County | Yes | 38.8 (33.5, 44.7) | 61 (42, 66) | 41 |
falling ![]() |
-1.8 (-2.7, -0.9) |
Riley County | Yes | 38.4 (31.1, 47.0) | 62 (35, 66) | 20 |
falling ![]() |
-1.7 (-2.6, -0.8) |
Pratt County | Yes | 37.8 (22.4, 60.8) | 63 (12, 66) | 4 |
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Jackson County | Yes | 37.8 (25.4, 55.1) | 64 (20, 66) | 6 |
falling ![]() |
-2.3 (-3.8, -0.7) |
Johnson County | Yes | 35.0 (33.0, 37.2) | 65 (55, 66) | 224 |
falling ![]() |
-1.9 (-2.2, -1.7) |
Ford County | Yes | 31.4 (23.3, 41.4) | 66 (46, 66) | 10 |
falling ![]() |
-2.6 (-3.8, -1.4) |
Barber County | *** |
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Chase County | *** |
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Chautauqua County | *** |
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Cheyenne County | *** |
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Clark County | *** |
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Comanche County | *** |
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Decatur County | *** |
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Elk County | *** |
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Gove County | *** |
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Graham County | *** |
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Greeley County | *** |
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Hamilton County | *** |
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Haskell County | *** |
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Hodgeman County | *** |
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Jewell County | *** |
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Kearny County | *** |
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Kiowa County | *** |
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Lane County | *** |
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Lincoln County | *** |
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Logan County | *** |
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Meade County | *** |
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Morton County | *** |
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Ness County | *** |
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Norton County | *** |
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Osborne County | *** |
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Phillips County | *** |
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Rawlins County | *** |
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Rush County | *** |
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Sheridan County | *** |
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Sherman County | *** |
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Smith County | *** |
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Stafford County | *** |
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Stanton County | *** |
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Thomas County | *** |
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Trego County | *** |
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Wallace County | *** |
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Washington County | *** |
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Wichita County | *** |
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Woodson County | *** |
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Notes:
Created by statecancerprofiles.cancer.gov on 05/30/2023 12:55 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.
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.
Created by statecancerprofiles.cancer.gov on 05/30/2023 12:55 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.
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.