Death Rates Table
County![]() |
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) ![]() |
---|---|---|---|---|---|---|
Illinois | *** | 11.6 (11.4, 11.9) | N/A | 1,823 |
rising ![]() |
1.4 (0.5, 2.4) |
United States | *** | 11.1 (11.0, 11.1) | N/A | 44,868 |
stable ![]() |
0.1 (0.0, 0.2) |
Ford County | *** | 23.0 (13.7, 36.6) | 1 (1, 59) | 4 |
|
|
Mercer County | *** | 18.9 (11.8, 29.5) | 2 (1, 60) | 4 |
|
|
Logan County | *** | 17.5 (12.2, 24.6) | 3 (1, 55) | 7 |
rising ![]() |
1.8 (0.2, 3.4) |
White County | *** | 17.4 (9.7, 29.4) | 4 (1, 65) | 3 |
|
|
Crawford County | *** | 17.1 (10.9, 26.1) | 5 (1, 62) | 5 |
|
|
Livingston County | *** | 16.6 (11.7, 23.1) | 6 (1, 57) | 8 |
rising ![]() |
2.0 (0.2, 3.7) |
Jersey County | *** | 16.5 (10.6, 25.0) | 7 (1, 62) | 5 |
|
|
Fulton County | *** | 16.4 (11.8, 22.6) | 8 (1, 57) | 9 |
stable ![]() |
1.7 (0.0, 3.5) |
Jefferson County | *** | 16.4 (11.8, 22.3) | 9 (1, 56) | 9 |
stable ![]() |
0.1 (-1.8, 2.1) |
Lawrence County | *** | 16.3 (9.6, 26.4) | 10 (1, 65) | 4 |
stable ![]() |
1.9 (-0.1, 4.0) |
Mason County | *** | 16.2 (9.8, 26.3) | 11 (1, 64) | 4 |
|
|
Douglas County | *** | 16.1 (9.9, 24.9) | 12 (1, 64) | 4 |
|
|
Pike County | *** | 15.9 (9.8, 25.2) | 13 (1, 65) | 4 |
|
|
Washington County | *** | 15.7 (9.2, 26.0) | 14 (1, 66) | 4 |
|
|
Piatt County | *** | 15.0 (9.0, 24.3) | 15 (1, 65) | 4 |
|
|
Bureau County | *** | 14.7 (10.3, 20.7) | 16 (1, 62) | 8 |
|
|
Richland County | *** | 14.1 (8.1, 23.5) | 17 (1, 66) | 3 |
|
|
La Salle County | *** | 14.0 (11.4, 17.0) | 18 (4, 53) | 22 |
rising ![]() |
13.5 (0.5, 28.3) |
DeKalb County | *** | 13.9 (10.8, 17.6) | 19 (3, 57) | 14 |
stable ![]() |
0.6 (-0.6, 1.8) |
Sangamon County | *** | 13.9 (11.9, 16.1) | 20 (7, 46) | 37 |
stable ![]() |
0.6 (-0.1, 1.3) |
Kendall County | *** | 13.8 (10.7, 17.4) | 21 (3, 57) | 15 |
stable ![]() |
-0.2 (-1.9, 1.5) |
Lee County | *** | 13.8 (9.4, 19.7) | 22 (1, 63) | 7 |
stable ![]() |
0.4 (-1.1, 1.9) |
Grundy County | *** | 13.6 (9.6, 18.8) | 23 (2, 63) | 8 |
stable ![]() |
0.2 (-1.7, 2.1) |
Iroquois County | *** | 13.6 (9.2, 19.8) | 24 (1, 63) | 6 |
stable ![]() |
0.6 (-1.3, 2.4) |
Fayette County | *** | 13.2 (8.0, 21.0) | 25 (1, 66) | 4 |
|
|
Adams County | *** | 12.9 (9.8, 16.9) | 26 (4, 61) | 12 |
stable ![]() |
1.0 (-0.6, 2.5) |
Henry County | *** | 12.7 (9.2, 17.2) | 27 (4, 63) | 9 |
rising ![]() |
1.4 (0.1, 2.6) |
Whiteside County | *** | 12.6 (9.5, 16.6) | 28 (5, 62) | 11 |
stable ![]() |
0.8 (-0.8, 2.4) |
Knox County | *** | 12.5 (9.1, 17.0) | 29 (5, 63) | 9 |
stable ![]() |
-0.1 (-1.5, 1.4) |
Kankakee County | *** | 12.2 (9.8, 15.1) | 30 (8, 60) | 18 |
rising ![]() |
1.9 (0.7, 3.1) |
Will County | *** | 12.1 (11.0, 13.3) | 31 (16, 52) | 86 |
rising ![]() |
0.7 (0.1, 1.3) |
McHenry County | *** | 12.1 (10.5, 13.8) | 32 (13, 56) | 43 |
stable ![]() |
0.1 (-0.6, 0.9) |
Woodford County | *** | 12.0 (8.2, 17.2) | 33 (4, 65) | 7 |
|
|
Saline County | *** | 11.9 (7.5, 18.6) | 34 (3, 66) | 4 |
|
|
Peoria County | *** | 11.9 (9.9, 14.2) | 35 (12, 59) | 27 |
stable ![]() |
0.4 (-0.5, 1.3) |
Lake County | *** | 11.9 (10.8, 13.1) | 36 (18, 51) | 94 |
stable ![]() |
0.3 (-0.2, 0.8) |
Cook County | *** | 11.9 (11.5, 12.3) | 37 (24, 45) | 716 |
stable ![]() |
1.4 (-0.2, 3.0) |
Clinton County | *** | 11.7 (7.8, 17.0) | 38 (3, 65) | 6 |
stable ![]() |
0.5 (-1.3, 2.3) |
McLean County | *** | 11.7 (9.5, 14.2) | 39 (12, 61) | 21 |
stable ![]() |
0.6 (-0.5, 1.8) |
Boone County | *** | 11.6 (8.2, 16.0) | 40 (5, 64) | 8 |
stable ![]() |
0.2 (-1.7, 2.2) |
Williamson County | *** | 11.4 (8.6, 15.1) | 41 (8, 64) | 11 |
stable ![]() |
0.1 (-1.3, 1.5) |
Kane County | *** | 11.3 (10.1, 12.7) | 42 (20, 57) | 65 |
stable ![]() |
-0.1 (-0.8, 0.5) |
Madison County | *** | 11.3 (9.8, 13.0) | 43 (18, 59) | 40 |
stable ![]() |
0.3 (-0.6, 1.2) |
Rock Island County | *** | 11.3 (9.3, 13.6) | 44 (14, 61) | 23 |
stable ![]() |
0.7 (-0.3, 1.7) |
Franklin County | *** | 11.3 (7.8, 16.1) | 45 (6, 65) | 7 |
stable ![]() |
0.8 (-0.4, 2.0) |
Winnebago County | *** | 11.3 (9.8, 12.9) | 46 (18, 59) | 43 |
stable ![]() |
0.0 (-0.6, 0.6) |
Macon County | *** | 11.2 (9.0, 14.0) | 47 (13, 62) | 18 |
stable ![]() |
-0.8 (-1.9, 0.4) |
Jo Daviess County | *** | 11.1 (7.1, 17.5) | 48 (4, 66) | 5 |
|
|
Vermilion County | *** | 10.7 (8.1, 13.9) | 49 (11, 64) | 12 |
stable ![]() |
0.9 (-0.3, 2.2) |
Champaign County | *** | 10.6 (8.7, 12.9) | 50 (18, 62) | 23 |
stable ![]() |
0.7 (-0.4, 1.9) |
Tazewell County | *** | 10.5 (8.5, 12.8) | 51 (19, 63) | 20 |
rising ![]() |
1.2 (0.1, 2.3) |
St. Clair County | *** | 10.5 (8.9, 12.3) | 52 (22, 62) | 34 |
stable ![]() |
-0.1 (-0.9, 0.7) |
DuPage County | *** | 10.5 (9.6, 11.4) | 53 (33, 59) | 118 |
stable ![]() |
0.0 (-0.5, 0.5) |
Monroe County | *** | 10.3 (6.6, 15.7) | 54 (8, 66) | 5 |
|
|
Christian County | *** | 10.2 (6.7, 15.2) | 55 (9, 66) | 5 |
stable ![]() |
-0.2 (-1.6, 1.2) |
Marion County | *** | 10.1 (6.8, 14.8) | 56 (9, 66) | 6 |
falling ![]() |
-10.4 (-16.0, -4.4) |
Macoupin County | *** | 9.6 (6.6, 13.8) | 57 (12, 66) | 7 |
stable ![]() |
-0.5 (-2.0, 1.1) |
Ogle County | *** | 9.2 (6.4, 13.0) | 58 (16, 66) | 7 |
stable ![]() |
-0.7 (-2.4, 1.0) |
Effingham County | *** | 8.7 (5.3, 13.6) | 59 (12, 66) | 4 |
stable ![]() |
0.2 (-1.7, 2.0) |
McDonough County | *** | 8.5 (5.0, 14.0) | 60 (12, 66) | 4 |
|
|
Morgan County | *** | 8.5 (5.1, 13.4) | 61 (14, 66) | 4 |
stable ![]() |
0.4 (-1.4, 2.2) |
Stephenson County | *** | 7.8 (5.2, 11.6) | 62 (26, 66) | 6 |
stable ![]() |
-0.1 (-1.9, 1.7) |
Randolph County | *** | 7.6 (4.6, 12.4) | 63 (19, 66) | 4 |
stable ![]() |
-1.4 (-3.6, 0.7) |
Coles County | *** | 7.4 (4.7, 11.1) | 64 (29, 66) | 5 |
stable ![]() |
-1.1 (-2.7, 0.6) |
Montgomery County | *** | 7.1 (4.0, 12.1) | 65 (21, 66) | 3 |
|
|
Jackson County | *** | 5.7 (3.5, 9.0) | 66 (50, 66) | 4 |
|
|
Alexander County | *** |
|
|
|
|
|
Bond County | *** |
|
|
|
|
|
Brown County | *** |
|
|
|
|
|
Calhoun County | *** |
|
|
|
|
|
Carroll County | *** |
|
|
|
|
|
Cass County | *** |
|
|
|
|
|
Clark County | *** |
|
|
|
|
|
Clay County | *** |
|
|
|
|
|
Cumberland County | *** |
|
|
|
|
|
De Witt County | *** |
|
|
|
|
|
Edgar County | *** |
|
|
|
|
|
Edwards County | *** |
|
|
|
|
|
Gallatin County | *** |
|
|
|
|
|
Greene County | *** |
|
|
|
|
|
Hamilton County | *** |
|
|
|
|
|
Hancock County | *** |
|
|
|
|
|
Hardin County | *** |
|
|
|
|
|
Henderson County | *** |
|
|
|
|
|
Jasper County | *** |
|
|
|
|
|
Johnson County | *** |
|
|
|
|
|
Marshall County | *** |
|
|
|
|
|
Massac County | *** |
|
|
|
|
|
Menard County | *** |
|
|
|
|
|
Moultrie County | *** |
|
|
|
|
|
Perry County | *** |
|
|
|
|
|
Pope County | *** |
|
|
|
|
|
Pulaski County | *** |
|
|
|
|
|
Putnam County | *** |
|
|
|
|
|
Schuyler County | *** |
|
|
|
|
|
Scott County | *** |
|
|
|
|
|
Shelby County | *** |
|
|
|
|
|
Stark County | *** |
|
|
|
|
|
Union County | *** |
|
|
|
|
|
Wabash County | *** |
|
|
|
|
|
Warren County | *** |
|
|
|
|
|
Wayne County | *** |
|
|
|
|
|
Notes:
Created by statecancerprofiles.cancer.gov on 09/29/2023 5:30 pm.
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.
* 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 09/29/2023 5:30 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.
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.
* 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.