Death Rates Table
County
|
Met Healthy People Objective of 161.4? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) 
|
Average Annual Count
|
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval)
|
|---|---|---|---|---|---|
| South Dakota | Yes | 160.3 (156.7, 163.9) | 1,642 |
falling 
|
-1.0 (-1.2, -0.8) |
| United States | No | 163.5 (163.3, 163.7) | 586,354 |
falling
|
-1.5 (-1.6, -1.5) |
| Shannon County | No | 241.8 (192.7, 298.3) | 19 |
falling
|
-1.8 (-2.9, -0.7) |
| Dewey County | No | 224.8 (166.8, 295.6) | 10 |
stable 
|
-0.4 (-2.1, 1.3) |
| McCook County | No | 213.1 (169.4, 265.9) | 18 |
stable
|
0.5 (-1.0, 2.0) |
| Todd County | No | 207.3 (156.1, 268.4) | 12 |
stable
|
-1.4 (-3.0, 0.2) |
| Bennett County | No | 201.6 (139.0, 283.0) | 7 |
stable
|
-0.4 (-2.8, 2.0) |
| Mellette County | No | 201.6 (128.2, 303.5) | 5 |
stable
|
-0.2 (-2.3, 2.0) |
| Perkins County | No | 200.7 (147.6, 270.9) | 11 |
stable
|
1.2 (-0.9, 3.4) |
| Hanson County | No | 200.4 (132.9, 289.1) | 6 |
stable
|
0.4 (-1.4, 2.2) |
| Corson County | No | 192.6 (133.4, 268.4) | 7 |
stable
|
-0.5 (-2.1, 1.1) |
| Roberts County | No | 188.4 (156.4, 225.5) | 26 |
stable
|
-0.8 (-1.9, 0.3) |
| Fall River County | No | 178.0 (146.0, 217.3) | 23 |
stable
|
-0.9 (-1.9, 0.2) |
| Douglas County | No | 177.9 (125.1, 248.9) | 10 |
stable
|
-0.4 (-2.3, 1.5) |
| Minnehaha County | No | 177.0 (168.2, 186.1) | 317 |
falling
|
-0.8 (-1.2, -0.5) |
| Butte County | No | 175.6 (145.5, 210.7) | 25 |
stable
|
-0.6 (-2.2, 1.1) |
| Kingsbury County | No | 175.2 (135.8, 224.5) | 15 |
stable
|
-0.6 (-1.8, 0.7) |
| Walworth County | No | 173.6 (137.3, 218.7) | 18 |
falling
|
-1.6 (-3.1, -0.1) |
| Stanley County | No | 173.3 (116.2, 250.2) | 6 |
falling
|
-2.2 (-4.0, -0.3) |
| Beadle County | No | 172.5 (149.6, 198.2) | 43 |
falling
|
-1.0 (-1.8, -0.1) |
| Jerauld County | No | 172.0 (114.1, 256.2) | 7 |
stable
|
0.7 (-1.3, 2.6) |
| Sanborn County | No | 172.0 (114.3, 252.5) | 6 |
stable
|
-1.2 (-3.2, 0.9) |
| Codington County | No | 171.3 (152.1, 192.4) | 60 |
falling
|
-0.8 (-1.5, -0.2) |
| Haakon County | No | 171.2 (106.1, 267.0) | 5 |
stable
|
-0.9 (-3.5, 1.8) |
| Jackson County | No | 170.3 (113.0, 246.7) | 6 |
stable
|
-2.0 (-4.0, 0.1) |
| Brule County | No | 169.3 (128.8, 219.6) | 13 |
stable
|
-0.7 (-2.3, 0.9) |
| Faulk County | No | 169.3 (116.0, 244.3) | 7 |
stable
|
-1.3 (-3.4, 0.8) |
| Turner County | No | 168.1 (136.4, 206.0) | 21 |
stable
|
4.8 (-2.3, 12.5) |
| Gregory County | No | 166.3 (125.6, 218.8) | 13 |
stable
|
0.0 (-1.1, 1.2) |
| Sully County | No | 163.4 (96.5, 268.7) | 4 |
stable
|
-1.8 (-4.6, 1.0) |
| Hughes County | No | 163.3 (139.1, 190.7) | 34 |
stable
|
-0.2 (-1.2, 0.8) |
| Brookings County | No | 162.5 (141.9, 185.3) | 46 |
stable
|
-0.4 (-1.1, 0.4) |
| Brown County | No | 162.4 (146.3, 179.8) | 80 |
falling
|
-0.9 (-1.6, -0.2) |
| Charles Mix County | No | 161.8 (132.5, 196.5) | 22 |
stable
|
-0.5 (-2.0, 1.1) |
| Clay County | Yes | 161.0 (130.3, 196.8) | 20 |
stable
|
-1.1 (-2.3, 0.2) |
| Lawrence County | Yes | 160.2 (141.6, 181.0) | 56 |
falling
|
-0.8 (-1.6, -0.1) |
| Pennington County | Yes | 157.3 (147.4, 167.6) | 197 |
falling
|
-1.3 (-1.8, -0.8) |
| Aurora County | Yes | 156.7 (106.5, 225.8) | 7 |
stable
|
-1.0 (-2.8, 0.9) |
| Moody County | Yes | 156.4 (120.1, 201.0) | 13 |
stable
|
0.3 (-0.9, 1.5) |
| Davison County | Yes | 156.3 (135.4, 179.7) | 44 |
stable
|
-1.0 (-2.0, 0.0) |
| Clark County | Yes | 155.7 (114.5, 210.2) | 10 |
stable
|
-0.5 (-2.3, 1.4) |
| Marshall County | Yes | 155.5 (116.7, 204.9) | 11 |
stable
|
-0.1 (-1.6, 1.4) |
| Lyman County | Yes | 154.4 (107.6, 215.9) | 7 |
stable
|
-1.8 (-3.7, 0.1) |
| Miner County | Yes | 153.8 (99.5, 232.2) | 6 |
stable
|
-0.4 (-2.2, 1.5) |
| Meade County | Yes | 149.9 (130.0, 172.1) | 42 |
falling
|
-1.3 (-2.4, -0.3) |
| Grant County | Yes | 145.1 (114.7, 182.4) | 16 |
stable
|
-0.8 (-1.9, 0.3) |
| Tripp County | Yes | 144.1 (110.8, 186.3) | 14 |
stable
|
-1.2 (-2.7, 0.3) |
| Spink County | Yes | 142.9 (111.1, 182.3) | 15 |
falling
|
-1.5 (-2.9, -0.1) |
| Potter County | Yes | 141.9 (98.9, 206.6) | 8 |
stable
|
-0.8 (-2.7, 1.1) |
| Yankton County | Yes | 140.9 (122.5, 161.6) | 44 |
falling
|
-0.9 (-1.8, -0.1) |
| Union County | Yes | 140.0 (116.3, 167.4) | 26 |
falling
|
-1.5 (-2.5, -0.4) |
| Hand County | Yes | 139.3 (97.8, 196.3) | 9 |
stable
|
-1.4 (-2.9, 0.1) |
| Hamlin County | Yes | 138.2 (103.6, 181.7) | 12 |
falling
|
-5.2 (-10.0, -0.1) |
| McPherson County | Yes | 136.6 (93.7, 200.7) | 7 |
stable
|
-1.3 (-3.4, 0.8) |
| Lake County | Yes | 136.6 (112.6, 164.8) | 24 |
falling
|
-1.3 (-2.4, -0.1) |
| Custer County | Yes | 134.5 (108.3, 167.0) | 20 |
falling
|
-1.3 (-2.4, -0.1) |
| Edmunds County | Yes | 134.1 (97.9, 182.6) | 10 |
falling
|
-2.2 (-3.9, -0.4) |
| Bon Homme County | Yes | 133.3 (103.2, 170.5) | 15 |
stable
|
-0.6 (-2.1, 1.0) |
| Hutchinson County | Yes | 131.5 (102.7, 167.2) | 18 |
falling
|
-1.7 (-3.2, -0.2) |
| Day County | Yes | 129.2 (99.4, 167.6) | 14 |
falling
|
-1.6 (-2.9, -0.4) |
| Lincoln County | Yes | 123.7 (108.7, 140.1) | 52 |
falling
|
-5.2 (-7.5, -2.7) |
| Deuel County | Yes | 112.2 (80.2, 155.6) | 8 |
falling
|
-2.4 (-3.6, -1.1) |
| Campbell County | Yes | 110.3 (62.7, 202.6) | 3 |
stable
|
-1.8 (-3.9, 0.3) |
| Buffalo County | *** |
|
|
|
|
| Harding County | *** |
|
|
|
|
| Hyde County | *** |
|
|
|
|
| Jones County | *** |
|
|
|
|
| Ziebach County | *** |
|
|
|
|
Notes:
Created by statecancerprofiles.cancer.gov on 02/22/2019 10:33 pm.
South Dakota County Name Change: please note that Shannon County, SD (FIPS code=46113) was renamed effective May 1, 2015, Shannon County was renamed Oglala Lakota County (FIPS Code=46102) (effective May 1, 2015). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with our next data release in 2018.
State Cancer Registries may provide more current or more local data.
† Death rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.
Healthy People 2020 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 availablility, 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.
Created by statecancerprofiles.cancer.gov on 02/22/2019 10:33 pm.
South Dakota County Name Change: please note that Shannon County, SD (FIPS code=46113) was renamed effective May 1, 2015, Shannon County was renamed Oglala Lakota County (FIPS Code=46102) (effective May 1, 2015). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with our next data release in 2018.
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 rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for 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.
Healthy People 2020 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 availablility, 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.