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Death Rates Table

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Death Rate Report for North Dakota by County

All Cancer Sites, 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Recentaapc
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 descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend ascending
North Dakota Yes 128.1 (123.4, 133.0) 598 falling falling trend -1.1 (-1.2, -0.9)
United States Yes 137.7 (137.4, 137.9) 280,047 falling falling trend -1.4 (-1.5, -1.4)
Eddy County No 221.6 (125.0, 371.2) 5 stable stable trend 2.3 (-0.2, 4.8)
Benson County Yes 156.3 (101.1, 230.9) 5 stable stable trend 1.6 (-0.9, 4.1)
Renville County No 201.7 (119.8, 327.5) 4 stable stable trend 1.4 (-1.6, 4.4)
Traill County No 170.1 (125.4, 227.7) 11 stable stable trend 0.6 (-0.9, 2.1)
Griggs County Yes 153.7 (78.3, 287.5) 3 stable stable trend 0.2 (-2.4, 3.0)
LaMoure County Yes 121.8 (70.8, 202.6) 5 stable stable trend 0.2 (-1.8, 2.1)
Barnes County No 162.4 (125.5, 208.5) 15 stable stable trend 0.1 (-1.5, 1.7)
Morton County Yes 154.7 (130.2, 182.8) 30 stable stable trend 0.1 (-1.0, 1.1)
Sargent County Yes 141.6 (87.1, 225.3) 4 stable stable trend 0.1 (-2.0, 2.3)
Cass County Yes 115.7 (105.3, 126.7) 98 stable stable trend 0.0 (-2.2, 2.3)
Mountrail County No 172.8 (120.4, 239.8) 7 stable stable trend -0.2 (-2.1, 1.8)
Cavalier County No 172.6 (112.4, 261.9) 7 stable stable trend -0.3 (-1.9, 1.2)
Williams County Yes 144.2 (117.3, 175.4) 21 stable stable trend -0.3 (-1.2, 0.6)
Bottineau County Yes 106.1 (70.7, 157.6) 6 stable stable trend -0.4 (-3.0, 2.2)
Wells County Yes 159.5 (110.2, 234.4) 8 stable stable trend -0.6 (-2.6, 1.4)
Mercer County Yes 148.5 (105.6, 204.7) 9 stable stable trend -0.7 (-2.5, 1.2)
McLean County Yes 128.3 (90.6, 178.1) 9 stable stable trend -0.8 (-2.5, 0.9)
Rolette County No 176.7 (133.9, 228.5) 12 stable stable trend -0.8 (-2.6, 1.0)
Stutsman County Yes 139.7 (113.4, 170.9) 22 stable stable trend -0.8 (-1.6, 0.0)
Ward County Yes 122.9 (107.0, 140.5) 45 falling falling trend -0.8 (-1.6, -0.1)
Burleigh County Yes 121.7 (109.1, 135.4) 72 falling falling trend -0.9 (-1.6, -0.1)
Bowman County Yes 92.7 (51.6, 166.9) 3 stable stable trend -1.0 (-3.8, 1.9)
Stark County Yes 110.3 (89.2, 135.1) 22 stable stable trend -1.0 (-2.1, 0.1)
Dunn County Yes 126.0 (71.1, 209.8) 3 stable stable trend -1.1 (-4.0, 2.0)
Grand Forks County Yes 137.8 (120.8, 156.6) 51 falling falling trend -1.1 (-1.8, -0.4)
Ramsey County Yes 110.4 (79.7, 150.3) 10 stable stable trend -1.3 (-2.8, 0.3)
Dickey County Yes 120.8 (77.5, 184.3) 6 stable stable trend -1.4 (-3.4, 0.7)
Pierce County Yes 127.5 (79.5, 200.5) 5 stable stable trend -1.5 (-3.7, 0.7)
Ransom County Yes 119.8 (74.3, 186.2) 6 stable stable trend -1.5 (-3.6, 0.7)
Walsh County Yes 139.7 (106.9, 181.6) 14 falling falling trend -1.5 (-2.6, -0.4)
Grant County Yes 125.7 (73.4, 225.2) 4 stable stable trend -2.1 (-4.6, 0.4)
McHenry County Yes 132.3 (87.3, 195.8) 6 falling falling trend -2.1 (-3.8, -0.4)
Nelson County Yes 151.4 (97.3, 243.3) 5 falling falling trend -2.3 (-4.2, -0.3)
Pembina County Yes 99.7 (65.7, 149.2) 6 falling falling trend -2.8 (-4.6, -1.1)
Richland County Yes 115.1 (87.0, 150.2) 13 stable stable trend -3.7 (-7.7, 0.4)
Adams County No 174.1 (99.0, 297.7) 5
*
*
Emmons County Yes 133.4 (74.9, 229.7) 5
*
*
Foster County Yes 106.1 (59.3, 185.3) 3
*
*
McKenzie County Yes 110.4 (70.3, 164.3) 5
*
*
Billings County ***
*
3 or fewer
*
*
Burke County ***
*
3 or fewer
*
*
Divide County ***
*
3 or fewer
*
*
Golden Valley County ***
*
3 or fewer
*
*
Hettinger County ***
*
3 or fewer
*
*
Kidder County ***
*
3 or fewer
*
*
Logan County ***
*
3 or fewer
*
*
McIntosh County ***
*
3 or fewer
*
*
Oliver County ***
*
3 or fewer
*
*
Sheridan County ***
*
3 or fewer
*
*
Sioux County ***
*
3 or fewer
*
*
Slope County ***
*
3 or fewer
*
*
Steele County ***
*
3 or fewer
*
*
Towner County ***
*
3 or fewer
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 07/07/2020 5:28 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 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 2020 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 1969-2016 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.

Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.
* 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.

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