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Death Rates Table

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Death Rate Report for North Dakota by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages <65

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate ascending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank 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 40.9 (38.8, 43.0) N/A 316 falling falling trend -2.0 (-2.3, -1.8)
United States Yes 47.3 (47.2, 47.4) N/A 168,038 falling falling trend -2.3 (-2.6, -2.0)
Rolette County Yes 65.7 (47.1, 89.3) 1 (1, 14) 9 stable stable trend -1.5 (-2.9, 0.0)
McLean County Yes 58.9 (39.2, 86.2) 2 (1, 19) 7 stable stable trend -1.3 (-2.9, 0.4)
Benson County Yes 57.9 (32.7, 94.7) 3 (1, 21) 4
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McHenry County Yes 56.0 (31.3, 93.7) 4 (1, 21) 4 falling falling trend -2.1 (-4.2, -0.1)
Mercer County Yes 53.7 (33.2, 83.1) 5 (1, 21) 5 stable stable trend -1.3 (-3.4, 0.9)
Bottineau County Yes 51.7 (29.7, 85.7) 6 (1, 21) 4
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Barnes County Yes 49.5 (32.4, 73.5) 7 (1, 21) 6 stable stable trend -1.5 (-3.3, 0.4)
Richland County Yes 47.3 (33.1, 66.0) 8 (1, 20) 9 stable stable trend -0.7 (-2.2, 0.9)
Traill County Yes 47.2 (28.6, 74.5) 9 (1, 21) 4
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Williams County Yes 45.5 (35.5, 57.4) 10 (3, 19) 15 falling falling trend -2.2 (-3.1, -1.3)
Grand Forks County Yes 44.3 (36.8, 52.8) 11 (4, 19) 27 falling falling trend -1.5 (-2.4, -0.6)
Stutsman County Yes 44.0 (32.6, 58.5) 12 (3, 20) 11 falling falling trend -2.0 (-3.0, -0.9)
Morton County Yes 43.2 (33.3, 55.3) 13 (3, 20) 14 falling falling trend -2.7 (-4.0, -1.5)
Pembina County Yes 42.7 (26.5, 68.7) 14 (1, 21) 5 falling falling trend -2.9 (-4.6, -1.1)
Ward County Yes 41.6 (34.4, 49.9) 15 (5, 20) 25 falling falling trend -1.5 (-2.4, -0.7)
Mountrail County Yes 41.5 (25.5, 64.0) 16 (2, 21) 4
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Walsh County Yes 40.1 (25.1, 61.7) 17 (2, 21) 5 falling falling trend -3.2 (-4.6, -1.7)
Cass County Yes 39.9 (35.5, 44.6) 18 (8, 19) 65 falling falling trend -2.7 (-3.3, -2.1)
Burleigh County Yes 35.3 (30.1, 41.2) 19 (11, 21) 36 falling falling trend -2.1 (-2.9, -1.3)
Ramsey County Yes 32.5 (19.2, 52.3) 20 (5, 21) 4 falling falling trend -3.3 (-4.7, -2.0)
Stark County Yes 29.3 (21.2, 39.7) 21 (12, 21) 9 falling falling trend -2.4 (-3.7, -1.1)
Adams County ***
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3 or fewer
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Billings County ***
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3 or fewer
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Bowman County ***
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3 or fewer
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Burke County ***
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3 or fewer
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Cavalier County ***
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3 or fewer
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Dickey County ***
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3 or fewer
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Divide County ***
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3 or fewer
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Dunn County ***
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3 or fewer
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Eddy County ***
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3 or fewer
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Emmons County ***
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3 or fewer
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Foster County ***
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3 or fewer
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Golden Valley County ***
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3 or fewer
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Grant County ***
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3 or fewer
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Griggs County ***
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3 or fewer
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Hettinger County ***
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3 or fewer
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Kidder County ***
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3 or fewer
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LaMoure County ***
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3 or fewer
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Logan County ***
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3 or fewer
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McIntosh County ***
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3 or fewer
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McKenzie County ***
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3 or fewer
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Nelson County ***
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3 or fewer
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Oliver County ***
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3 or fewer
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Pierce County ***
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3 or fewer
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Ransom County ***
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3 or fewer
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Renville County ***
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3 or fewer
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Sargent County ***
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3 or fewer
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Sheridan County ***
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3 or fewer
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Sioux County ***
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3 or fewer
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Slope County ***
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3 or fewer
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Steele County ***
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3 or fewer
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Towner County ***
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3 or fewer
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Wells County ***
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3 or fewer
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*
Notes:
Created by statecancerprofiles.cancer.gov on 11/30/2022 11:48 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.

† 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.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 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 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.

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