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Death Rates Table

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Death Rate Report for North Dakota by County

All Cancer Sites, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of 161.4?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
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 153.1 (149.3, 157.0) 1,297 falling falling trend -1.2 (-1.4, -1.1)
United States No 163.5 (163.3, 163.7) 586,354 falling falling trend -1.5 (-1.6, -1.5)
Adams County Yes 155.8 (102.3, 232.9) 7 stable stable trend -1.6 (-3.1, 0.0)
Barnes County Yes 156.4 (130.8, 186.4) 28 stable stable trend -0.8 (-1.9, 0.3)
Benson County No 194.0 (148.4, 249.0) 13 stable stable trend 1.2 (-0.6, 3.0)
Billings County ***
*
3 or fewer
*
*
Bottineau County No 162.7 (130.4, 202.2) 18 stable stable trend -1.1 (-2.6, 0.5)
Bowman County No 198.6 (147.4, 265.1) 11 stable stable trend -0.2 (-1.6, 1.3)
Burke County No 194.8 (132.5, 280.6) 6 stable stable trend -1.3 (-3.3, 0.7)
Burleigh County Yes 142.6 (132.2, 153.5) 147 falling falling trend -1.1 (-1.8, -0.4)
Cass County Yes 140.6 (132.0, 149.6) 209 falling falling trend -1.9 (-2.3, -1.4)
Cavalier County No 161.9 (118.5, 219.0) 12 falling falling trend -1.7 (-3.1, -0.3)
Dickey County Yes 141.3 (107.2, 184.7) 13 falling falling trend -1.4 (-2.6, -0.2)
Divide County Yes 106.1 (66.2, 168.9) 5 falling falling trend -2.6 (-4.6, -0.6)
Dunn County Yes 141.3 (97.7, 198.7) 7 stable stable trend -1.5 (-3.2, 0.2)
Eddy County No 217.7 (148.3, 311.8) 8 stable stable trend 1.6 (-0.1, 3.3)
Emmons County Yes 157.1 (109.4, 222.1) 10 falling falling trend -2.0 (-3.3, -0.7)
Foster County Yes 157.4 (112.3, 217.8) 9 stable stable trend -0.2 (-2.3, 1.9)
Golden Valley County No 210.5 (136.1, 315.8) 6 stable stable trend 1.1 (-0.7, 2.8)
Grand Forks County Yes 158.5 (144.6, 173.4) 101 falling falling trend -1.1 (-1.7, -0.6)
Grant County Yes 139.2 (96.8, 203.4) 7 stable stable trend -0.5 (-2.3, 1.3)
Griggs County No 205.8 (142.4, 294.1) 9 stable stable trend 0.2 (-2.2, 2.6)
Hettinger County Yes 109.8 (71.7, 167.0) 5 stable stable trend -1.5 (-3.4, 0.4)
Kidder County Yes 145.6 (98.4, 213.6) 6 stable stable trend -1.9 (-4.1, 0.3)
LaMoure County Yes 137.8 (97.7, 191.3) 10 stable stable trend -0.9 (-2.3, 0.6)
Logan County Yes 148.7 (97.5, 226.9) 6 stable stable trend -0.4 (-2.3, 1.6)
McHenry County No 168.8 (131.7, 214.4) 15 stable stable trend -1.2 (-2.3, 0.0)
McIntosh County Yes 103.4 (68.2, 158.7) 7 falling falling trend -2.6 (-4.5, -0.8)
McKenzie County Yes 122.1 (88.9, 162.9) 10 falling falling trend -2.1 (-3.5, -0.7)
McLean County Yes 148.3 (120.7, 181.3) 22 falling falling trend -1.4 (-2.6, -0.3)
Mercer County No 183.4 (149.0, 224.1) 21 stable stable trend -0.2 (-1.3, 0.9)
Morton County No 162.4 (143.9, 182.8) 58 falling falling trend -1.3 (-2.0, -0.5)
Mountrail County No 161.7 (125.1, 205.4) 14 stable stable trend -1.5 (-3.3, 0.3)
Nelson County No 230.3 (175.8, 301.6) 14 stable stable trend -1.5 (-3.2, 0.3)
Oliver County Yes 112.1 (63.5, 191.2) 3 stable stable trend 0.2 (-2.5, 3.1)
Pembina County Yes 159.2 (126.6, 199.0) 19 falling falling trend -2.4 (-3.4, -1.3)
Pierce County Yes 134.6 (100.1, 180.1) 11 falling falling trend -1.9 (-3.7, -0.1)
Ramsey County No 168.1 (140.8, 199.7) 29 stable stable trend -0.8 (-1.8, 0.2)
Ransom County No 169.4 (131.4, 216.5) 16 stable stable trend -1.3 (-2.5, 0.0)
Renville County No 172.0 (115.0, 250.1) 6 stable stable trend 0.3 (-2.0, 2.8)
Richland County Yes 153.1 (129.2, 180.5) 32 falling falling trend -1.1 (-2.0, -0.3)
Rolette County No 202.2 (167.3, 242.0) 25 stable stable trend -0.9 (-2.1, 0.3)
Sargent County No 175.3 (129.4, 234.5) 10 stable stable trend 0.2 (-1.2, 1.6)
Sheridan County Yes 121.1 (72.6, 215.3) 4 stable stable trend -1.3 (-3.9, 1.3)
Sioux County No 165.6 (100.0, 254.3) 4 stable stable trend -1.7 (-5.0, 1.7)
Slope County ***
*
3 or fewer
*
*
Stark County Yes 133.9 (116.3, 153.5) 45 falling falling trend -1.1 (-2.0, -0.2)
Steele County Yes 130.7 (82.5, 205.7) 5 falling falling trend -2.4 (-4.5, -0.2)
Stutsman County No 178.0 (156.7, 201.7) 54 falling falling trend -0.8 (-1.4, -0.2)
Towner County Yes 139.9 (94.3, 208.6) 6 stable stable trend -0.5 (-2.3, 1.5)
Traill County No 161.9 (129.3, 200.9) 19 stable stable trend 0.0 (-0.9, 0.9)
Walsh County No 171.9 (144.9, 203.2) 31 stable stable trend 10.9 (-4.8, 29.2)
Ward County Yes 148.5 (135.5, 162.5) 99 falling falling trend -1.0 (-1.7, -0.3)
Wells County No 196.3 (156.4, 247.6) 18 stable stable trend -0.7 (-2.1, 0.6)
Williams County No 174.9 (152.7, 199.3) 47 stable stable trend -0.4 (-1.1, 0.3)
Notes:
Created by statecancerprofiles.cancer.gov on 07/22/2019 11:53 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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