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Death Rates Table

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Death Rate Report for North Dakota by County

All Cancer Sites, 2011-2015

White (includes Hispanic), Both Sexes, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
North Dakota Yes 152.3 (148.4, 156.2) 1,247 falling falling trend -1.2 (-1.4, -1.1)
United States No 163.8 (163.6, 164.0) 499,171 falling falling trend -1.4 (-1.5, -1.4)
Nelson County No 226.2 (171.4, 298.4) 14 stable stable trend -1.6 (-3.3, 0.2)
Eddy County No 223.6 (151.5, 321.8) 8 stable stable trend 1.3 (-0.3, 3.0)
Golden Valley County No 212.3 (137.1, 319.0) 6 stable stable trend 1.4 (-0.4, 3.2)
Griggs County No 208.0 (143.7, 297.6) 9 stable stable trend 0.2 (-2.1, 2.6)
Bowman County No 199.6 (148.1, 266.8) 11 stable stable trend -0.2 (-1.6, 1.3)
Wells County No 196.8 (156.7, 248.3) 18 stable stable trend -0.7 (-2.1, 0.6)
Burke County No 195.8 (133.2, 282.4) 6 stable stable trend -1.3 (-3.3, 0.8)
Benson County No 191.6 (134.4, 268.6) 9 stable stable trend 1.0 (-1.0, 3.1)
Mercer County No 182.2 (147.6, 223.2) 21 stable stable trend -0.3 (-1.4, 0.8)
Stutsman County No 177.5 (156.0, 201.4) 53 falling falling trend -0.8 (-1.3, -0.2)
Sargent County No 177.0 (130.7, 237.1) 10 stable stable trend 0.2 (-1.2, 1.7)
Williams County No 174.6 (151.9, 199.6) 45 stable stable trend -0.4 (-1.1, 0.3)
Renville County No 173.6 (116.1, 252.7) 6 stable stable trend 0.4 (-2.0, 2.8)
Walsh County No 173.3 (145.9, 205.1) 31 stable stable trend 8.5 (-1.2, 19.2)
Ransom County No 170.7 (132.5, 218.4) 16 stable stable trend -1.2 (-2.4, 0.0)
Ramsey County No 169.8 (141.8, 202.7) 28 stable stable trend -0.8 (-1.7, 0.2)
McHenry County No 167.5 (130.5, 213.2) 15 stable stable trend -1.2 (-2.3, 0.0)
Traill County No 163.2 (130.3, 202.8) 19 stable stable trend 0.1 (-0.8, 1.0)
Pembina County No 161.8 (128.5, 202.5) 19 falling falling trend -2.2 (-3.3, -1.1)
Morton County Yes 160.9 (142.3, 181.4) 56 falling falling trend -1.2 (-2.0, -0.5)
Cavalier County Yes 160.5 (117.0, 218.2) 12 falling falling trend -1.7 (-3.2, -0.3)
Bottineau County Yes 159.9 (127.6, 199.7) 18 stable stable trend -1.1 (-2.6, 0.4)
Grand Forks County Yes 159.6 (145.4, 174.8) 98 falling falling trend -1.1 (-1.7, -0.5)
Foster County Yes 158.8 (113.2, 220.0) 9 stable stable trend -0.2 (-2.2, 2.0)
Emmons County Yes 158.1 (109.8, 224.2) 10 falling falling trend -2.0 (-3.3, -0.7)
Adams County Yes 156.8 (103.0, 235.0) 7 stable stable trend -1.5 (-3.1, 0.0)
Barnes County Yes 156.5 (130.8, 186.8) 28 stable stable trend -0.8 (-1.9, 0.4)
Mountrail County Yes 155.0 (116.0, 203.3) 11 stable stable trend -1.7 (-3.8, 0.5)
Richland County Yes 153.8 (129.6, 181.6) 31 falling falling trend -1.0 (-1.9, -0.2)
Rolette County Yes 152.3 (109.5, 212.2) 8 stable stable trend -0.6 (-2.3, 1.1)
Ward County Yes 150.0 (136.7, 164.2) 97 falling falling trend -1.1 (-1.8, -0.3)
Logan County Yes 149.3 (97.9, 228.1) 6 stable stable trend -0.3 (-2.2, 1.6)
McLean County Yes 147.0 (118.7, 181.3) 21 falling falling trend -1.4 (-2.6, -0.2)
Kidder County Yes 146.4 (99.0, 215.2) 6 stable stable trend -1.9 (-4.1, 0.4)
Burleigh County Yes 142.8 (132.3, 153.8) 144 falling falling trend -1.1 (-1.8, -0.4)
Towner County Yes 141.9 (95.6, 212.5) 6 stable stable trend -0.4 (-2.3, 1.5)
Cass County Yes 140.6 (131.9, 149.8) 204 falling falling trend -1.9 (-2.3, -1.4)
Grant County Yes 140.2 (97.4, 205.5) 7 stable stable trend -0.4 (-2.2, 1.4)
Dickey County Yes 139.7 (105.7, 183.3) 13 falling falling trend -1.4 (-2.6, -0.2)
Dunn County Yes 139.0 (94.2, 199.4) 6 stable stable trend -1.5 (-3.2, 0.2)
LaMoure County Yes 138.5 (98.1, 192.5) 10 stable stable trend -0.8 (-2.2, 0.6)
Pierce County Yes 137.0 (101.8, 183.8) 11 stable stable trend -1.8 (-3.7, 0.0)
Stark County Yes 135.3 (117.6, 155.2) 45 falling falling trend -1.1 (-1.9, -0.2)
Steele County Yes 126.7 (78.9, 201.8) 5 falling falling trend -2.5 (-4.7, -0.3)
Sheridan County Yes 121.9 (73.0, 218.4) 4 stable stable trend -1.3 (-3.9, 1.3)
McKenzie County Yes 113.3 (80.0, 155.5) 8 falling falling trend -2.5 (-4.0, -0.9)
Hettinger County Yes 110.2 (71.9, 168.5) 5 stable stable trend -1.5 (-3.4, 0.4)
Divide County Yes 106.8 (66.6, 170.6) 5 falling falling trend -2.6 (-4.7, -0.6)
McIntosh County Yes 104.1 (68.6, 160.3) 7 falling falling trend -2.6 (-4.4, -0.7)
Billings County ***
*
3 or fewer
*
*
Oliver County ***
*
3 or fewer
*
*
Sioux County ***
*
3 or fewer
*
*
Slope County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 05/22/2019 10:46 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.

† 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.

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