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)
|
|---|---|---|---|---|---|---|
| North Dakota | No | 167.8 (162.1, 173.6) | N/A | 695 |
falling 
|
-1.5 (-1.7, -1.4) |
| United States | No | 177.5 (177.2, 177.8) | N/A | 315,770 |
falling
|
-2.2 (-2.5, -2.0) |
| LaMoure County | Yes | 85.5 (47.3, 150.3) | 40 (27, 40) | 3 |
falling
|
-9.2 (-13.1, -5.1) |
| McKenzie County | Yes | 110.3 (70.6, 162.2) | 39 (15, 40) | 5 |
falling
|
-2.6 (-4.5, -0.7) |
| Dunn County | No | 123.1 (69.5, 203.4) | 38 (3, 40) | 3 |
falling
|
-2.1 (-3.9, -0.3) |
| Mountrail County | No | 124.2 (80.4, 181.9) | 37 (9, 40) | 6 |
falling
|
-2.6 (-4.4, -0.8) |
| Emmons County | No | 138.4 (82.8, 228.2) | 36 (2, 40) | 4 |
falling
|
-2.5 (-3.5, -1.5) |
| Foster County | No | 141.0 (80.4, 236.1) | 35 (2, 40) | 3 |
stable 
|
-1.0 (-2.9, 0.9) |
| Ward County | No | 147.9 (128.9, 168.8) | 34 (17, 38) | 45 |
falling
|
-2.0 (-2.7, -1.3) |
| Griggs County | No | 148.3 (86.9, 259.4) | 33 (1, 40) | 4 |
stable
|
-0.7 (-2.9, 1.5) |
| Burleigh County | No | 150.6 (135.8, 166.7) | 32 (19, 37) | 79 |
falling
|
-1.7 (-2.2, -1.1) |
| Cavalier County | No | 153.6 (95.7, 240.0) | 31 (1, 40) | 5 |
falling
|
-2.2 (-3.7, -0.7) |
| Benson County | No | 158.5 (102.4, 234.1) | 30 (1, 40) | 5 |
stable
|
-0.5 (-2.2, 1.3) |
| Sargent County | No | 162.6 (106.0, 244.3) | 29 (1, 40) | 5 |
|
|
| Stutsman County | No | 165.1 (135.3, 199.9) | 28 (6, 37) | 23 |
falling
|
-1.6 (-2.5, -0.8) |
| Pierce County | No | 165.7 (110.5, 245.3) | 27 (1, 40) | 6 |
falling
|
-1.9 (-3.5, -0.3) |
| Richland County | No | 168.5 (134.2, 209.5) | 26 (4, 37) | 18 |
falling
|
-1.5 (-2.3, -0.6) |
| Bowman County | No | 170.3 (103.7, 270.8) | 25 (1, 40) | 4 |
stable
|
-0.9 (-2.7, 1.0) |
| Mercer County | No | 172.5 (125.5, 232.6) | 24 (1, 39) | 10 |
stable
|
-0.5 (-1.8, 0.7) |
| Cass County | No | 173.6 (160.1, 187.8) | 23 (9, 31) | 131 |
falling
|
-1.8 (-2.2, -1.3) |
| Traill County | No | 175.1 (129.8, 233.1) | 22 (1, 38) | 10 |
stable
|
-0.7 (-1.8, 0.4) |
| Ramsey County | No | 177.7 (137.9, 226.5) | 21 (2, 37) | 14 |
stable
|
-0.6 (-1.6, 0.4) |
| McLean County | No | 178.1 (137.6, 229.0) | 20 (2, 37) | 14 |
falling
|
-1.7 (-2.7, -0.7) |
| Barnes County | No | 178.8 (139.1, 228.0) | 19 (2, 37) | 15 |
falling
|
-1.5 (-2.4, -0.6) |
| Adams County | No | 181.5 (96.6, 320.3) | 18 (1, 40) | 3 |
falling
|
-2.3 (-4.0, -0.6) |
| Pembina County | No | 181.8 (136.4, 241.0) | 17 (1, 37) | 12 |
falling
|
-2.0 (-3.0, -0.9) |
| Stark County | No | 182.5 (152.4, 216.7) | 16 (3, 34) | 27 |
stable
|
-0.8 (-1.7, 0.1) |
| Walsh County | No | 185.3 (144.4, 235.7) | 15 (1, 36) | 15 |
falling
|
-1.6 (-2.6, -0.6) |
| McIntosh County | No | 185.9 (109.8, 308.0) | 14 (1, 40) | 5 |
|
|
| Morton County | No | 189.2 (161.1, 221.0) | 13 (3, 32) | 34 |
falling
|
-1.8 (-2.5, -1.1) |
| Williams County | No | 189.6 (155.7, 228.1) | 12 (2, 34) | 25 |
stable
|
-0.9 (-1.7, 0.0) |
| McHenry County | No | 190.2 (132.1, 266.9) | 11 (1, 38) | 7 |
stable
|
-0.4 (-1.9, 1.1) |
| Dickey County | No | 191.7 (133.0, 271.4) | 10 (1, 38) | 7 |
stable
|
-0.7 (-2.0, 0.5) |
| Ransom County | No | 196.6 (137.2, 275.8) | 9 (1, 38) | 8 |
falling
|
-1.6 (-2.8, -0.4) |
| Grand Forks County | No | 196.9 (174.6, 221.1) | 8 (2, 26) | 60 |
falling
|
-1.1 (-1.7, -0.5) |
| Bottineau County | No | 197.5 (143.4, 268.0) | 7 (1, 37) | 10 |
stable
|
-1.2 (-2.8, 0.4) |
| Hettinger County | No | 201.6 (121.4, 326.0) | 6 (1, 40) | 4 |
|
|
| Eddy County | No | 209.7 (126.1, 340.8) | 5 (1, 39) | 4 |
stable
|
-0.1 (-1.8, 1.8) |
| Nelson County | No | 212.0 (142.8, 316.6) | 4 (1, 38) | 6 |
stable
|
-0.6 (-2.5, 1.3) |
| Burke County | No | 215.9 (121.9, 361.4) | 3 (1, 40) | 3 |
stable
|
-1.6 (-3.4, 0.3) |
| Wells County | No | 221.4 (157.6, 310.9) | 2 (1, 35) | 9 |
stable
|
-0.9 (-2.3, 0.6) |
| Rolette County | No | 225.9 (173.6, 288.6) | 1 (1, 30) | 14 |
falling
|
-1.3 (-2.3, -0.3) |
| Billings County | *** |
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| Divide County | *** |
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| Golden Valley County | *** |
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| Grant County | *** |
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| Kidder County | *** |
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| Logan County | *** |
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| Oliver County | *** |
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| Renville County | *** |
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| Sheridan County | *** |
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| Sioux County | *** |
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| Slope County | *** |
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| Steele County | *** |
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| Towner County | *** |
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Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2023 3:39 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.
* 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 03/28/2023 3:39 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.
* 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.