Death Rates Table
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)
|
|---|---|---|---|---|---|---|---|
| Wisconsin | N/A | *** | 11.9 (11.5, 12.2) | N/A | 942 |
rising 
|
0.5 (0.3, 0.6) |
| United States | N/A | *** | 11.2 (11.1, 11.2) | N/A | 46,760 |
rising
|
0.3 (0.2, 0.3) |
| Marquette County | Rural | *** | 20.0 (13.1, 30.4) | 1 (1, 53) | 6 |
|
|
| Ashland County | Rural | *** | 17.7 (11.0, 27.8) | 2 (1, 62) | 4 |
|
|
| Clark County | Rural | *** | 17.6 (12.3, 24.5) | 3 (1, 54) | 8 |
rising
|
3.5 (2.0, 5.6) |
| Lafayette County | Rural | *** | 16.5 (10.1, 26.1) | 4 (1, 62) | 4 |
|
|
| Price County | Rural | *** | 15.1 (9.4, 24.7) | 5 (1, 62) | 4 |
|
|
| Shawano County | Rural | *** | 14.3 (10.4, 19.4) | 6 (1, 60) | 9 |
rising
|
2.3 (0.6, 4.7) |
| Iowa County | Urban | *** | 14.2 (9.0, 21.7) | 7 (1, 62) | 5 |
|
|
| Trempealeau County | Rural | *** | 14.2 (9.5, 20.7) | 8 (1, 62) | 6 |
|
|
| Juneau County | Rural | *** | 14.1 (9.5, 20.7) | 9 (1, 62) | 6 |
|
|
| Eau Claire County | Urban | *** | 13.9 (11.1, 17.2) | 10 (2, 54) | 18 |
stable 
|
1.1 (0.0, 2.5) |
| Grant County | Rural | *** | 13.9 (10.2, 18.7) | 11 (1, 60) | 10 |
rising
|
1.7 (0.4, 3.4) |
| Rusk County | Rural | *** | 13.6 (7.8, 23.3) | 12 (1, 62) | 3 |
|
|
| Adams County | Rural | *** | 13.5 (9.0, 20.9) | 13 (1, 62) | 6 |
|
|
| Sauk County | Rural | *** | 13.5 (10.3, 17.5) | 14 (2, 58) | 13 |
rising
|
2.2 (0.9, 4.1) |
| Portage County | Rural | *** | 13.5 (10.2, 17.6) | 15 (2, 59) | 12 |
rising
|
2.6 (0.8, 11.8) |
| Polk County | Rural | *** | 13.4 (9.8, 18.2) | 16 (2, 60) | 10 |
stable
|
1.4 (-0.3, 3.7) |
| Chippewa County | Urban | *** | 13.4 (10.2, 17.3) | 17 (2, 59) | 13 |
stable
|
0.6 (-0.5, 2.1) |
| Wood County | Rural | *** | 13.3 (10.5, 16.8) | 18 (2, 57) | 16 |
stable
|
0.6 (-0.7, 2.2) |
| St. Croix County | Urban | *** | 13.3 (10.3, 16.9) | 19 (2, 59) | 14 |
stable
|
1.2 (0.0, 2.8) |
| Ozaukee County | Urban | *** | 13.2 (10.7, 16.3) | 20 (3, 56) | 20 |
stable
|
0.4 (-0.8, 2.1) |
| Burnett County | Rural | *** | 13.2 (8.4, 21.4) | 21 (1, 62) | 5 |
|
|
| Dodge County | Rural | *** | 12.9 (10.2, 16.2) | 22 (3, 58) | 16 |
stable
|
1.0 (-0.1, 2.4) |
| Dunn County | Rural | *** | 12.9 (8.8, 18.2) | 23 (1, 62) | 7 |
|
|
| Green Lake County | Rural | *** | 12.8 (7.7, 20.8) | 24 (1, 62) | 4 |
|
|
| Washburn County | Rural | *** | 12.7 (7.7, 21.1) | 25 (1, 62) | 4 |
|
|
| Oconto County | Urban | *** | 12.5 (8.9, 17.6) | 26 (2, 62) | 8 |
stable
|
0.9 (-0.5, 2.8) |
| Marinette County | Rural | *** | 12.4 (9.0, 17.1) | 27 (2, 61) | 9 |
stable
|
0.2 (-0.9, 1.6) |
| Milwaukee County | Urban | *** | 12.4 (11.4, 13.4) | 28 (11, 44) | 129 |
stable
|
0.4 (0.0, 0.9) |
| Outagamie County | Urban | *** | 12.2 (10.2, 14.5) | 29 (7, 56) | 28 |
rising
|
1.2 (0.1, 7.5) |
| Waukesha County | Urban | *** | 12.2 (11.0, 13.5) | 30 (11, 49) | 74 |
stable
|
0.4 (-0.3, 1.3) |
| Monroe County | Rural | *** | 12.1 (8.5, 16.9) | 31 (2, 62) | 7 |
rising
|
2.3 (0.9, 4.3) |
| Racine County | Urban | *** | 11.9 (10.0, 14.0) | 32 (9, 56) | 31 |
stable
|
0.1 (-0.8, 1.3) |
| Dane County | Urban | *** | 11.7 (10.5, 13.1) | 33 (14, 52) | 72 |
stable
|
0.3 (-0.3, 1.0) |
| Brown County | Urban | *** | 11.7 (10.0, 13.5) | 34 (11, 56) | 38 |
stable
|
0.5 (-0.1, 1.3) |
| Waushara County | Rural | *** | 11.6 (7.1, 18.4) | 35 (1, 62) | 5 |
stable
|
0.5 (-1.4, 3.0) |
| Rock County | Urban | *** | 11.5 (9.6, 13.9) | 36 (8, 59) | 24 |
stable
|
0.6 (-0.3, 1.6) |
| Waupaca County | Rural | *** | 11.5 (8.5, 15.4) | 37 (4, 62) | 10 |
stable
|
-0.3 (-1.6, 1.2) |
| Winnebago County | Urban | *** | 11.4 (9.5, 13.6) | 38 (10, 59) | 25 |
stable
|
0.4 (-0.5, 1.5) |
| Walworth County | Rural | *** | 11.3 (8.9, 14.2) | 39 (7, 61) | 17 |
stable
|
1.2 (-0.1, 2.9) |
| Fond du Lac County | Urban | *** | 11.1 (8.8, 14.0) | 40 (7, 61) | 16 |
stable
|
0.6 (-0.6, 2.0) |
| Sawyer County | Rural | *** | 11.1 (6.8, 18.4) | 41 (2, 62) | 4 |
|
|
| Marathon County | Urban | *** | 11.1 (9.1, 13.4) | 42 (11, 60) | 22 |
stable
|
0.2 (-0.8, 1.3) |
| Taylor County | Rural | *** | 10.9 (6.4, 18.1) | 43 (2, 62) | 4 |
|
|
| Green County | Urban | *** | 10.8 (7.1, 15.9) | 44 (3, 62) | 6 |
stable
|
0.9 (-0.8, 3.1) |
| Oneida County | Rural | *** | 10.8 (7.7, 15.3) | 45 (5, 62) | 8 |
stable
|
-0.3 (-1.9, 1.7) |
| Lincoln County | Rural | *** | 10.7 (7.0, 16.3) | 46 (3, 62) | 5 |
stable
|
-1.3 (-2.8, 0.3) |
| Washington County | Urban | *** | 10.7 (8.7, 13.1) | 47 (11, 61) | 21 |
stable
|
0.0 (-0.8, 0.9) |
| Vernon County | Urban | *** | 10.7 (6.7, 16.4) | 48 (3, 62) | 5 |
stable
|
-1.2 (-3.2, 0.8) |
| Douglas County | Urban | *** | 10.6 (7.3, 15.2) | 49 (4, 62) | 7 |
falling 
|
-1.9 (-3.6, -0.4) |
| Sheboygan County | Urban | *** | 10.5 (8.4, 13.0) | 50 (13, 62) | 18 |
stable
|
0.1 (-0.8, 1.2) |
| Calumet County | Urban | *** | 10.5 (7.2, 14.8) | 51 (5, 62) | 7 |
|
|
| Vilas County | Rural | *** | 10.5 (6.9, 16.5) | 52 (4, 62) | 5 |
|
|
| Columbia County | Urban | *** | 10.4 (7.5, 14.1) | 53 (6, 62) | 9 |
stable
|
0.7 (-0.5, 2.3) |
| Jefferson County | Rural | *** | 10.4 (7.9, 13.5) | 54 (10, 62) | 12 |
stable
|
-0.1 (-1.4, 1.6) |
| Barron County | Rural | *** | 10.1 (7.2, 14.1) | 55 (7, 62) | 8 |
stable
|
0.2 (-1.2, 1.8) |
| Kenosha County | Urban | *** | 10.0 (8.2, 12.3) | 56 (18, 62) | 21 |
stable
|
-17.3 (-32.2, 0.1) |
| Manitowoc County | Rural | *** | 9.9 (7.7, 12.7) | 57 (13, 62) | 14 |
stable
|
0.1 (-0.9, 1.3) |
| Kewaunee County | Urban | *** | 9.8 (5.8, 16.4) | 58 (3, 62) | 4 |
|
|
| Pierce County | Urban | *** | 9.5 (5.9, 14.5) | 59 (6, 62) | 5 |
|
|
| La Crosse County | Urban | *** | 9.1 (7.1, 11.6) | 60 (22, 62) | 14 |
stable
|
0.4 (-0.7, 1.6) |
| Langlade County | Rural | *** | 8.9 (5.2, 15.3) | 61 (6, 62) | 3 |
stable
|
0.1 (-2.0, 2.4) |
| Door County | Rural | *** | 8.3 (5.1, 13.4) | 62 (11, 62) | 5 |
|
|
| Bayfield County | Rural | *** |
|
|
|
|
|
| Buffalo County | Rural | *** |
|
|
|
|
|
| Crawford County | Rural | *** |
|
|
|
|
|
| Florence County | Rural | *** |
|
|
|
|
|
| Forest County | Rural | *** |
|
|
|
|
|
| Iron County | Rural | *** |
|
|
|
|
|
| Jackson County | Rural | *** |
|
|
|
|
|
| Menominee County | Rural | *** |
|
|
|
|
|
| Pepin County | Rural | *** |
|
|
|
|
|
| Richland County | Rural | *** |
|
|
|
|
|
Notes:
Created by statecancerprofiles.cancer.gov on 09/11/2024 6:07 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 09/11/2024 6:07 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.