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Rate/Trend Comparison by Cancer Table

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Death Rate/Trend Comparison by Cancer, 2018-2022

North Dakota Counties versus United States

Ovary

All Races, Female

  Above US Rate Similar to US Rate Below US Rate
Rising
Trend
Priority 1: rising and above

Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend
Priority 4: stable and above

Priority 6: stable and similar

Priority 7: stable and below

Falling
Trend
Priority 5: falling and above

Priority 8: falling and similar

Priority 9: falling and below

Notes:
Created by statecancerprofiles.cancer.gov on 12/08/2024 12:50 pm.

Trend2
     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.
Rate Comparison
     Above     when 95% confident the rate is above and Rate Ratio3 > 1.10
     Similar     when unable to conclude above or below with confidence.
     Below     when 95% confident the rate is below and Rate Ratio3 < 0.90

1 Priority indices were created by ordering from rates that are rising and above the comparison rate to rates that are falling and below the comparison rate.
2 Recent trend in death rates is usually an Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Version 5.1. Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected geographic areas.
3 Rate ratio is the county rate divided by the US rate. Previous versions of this table used one-year rates for states and five-year rates for counties. As of June 2018, only five-year rates are used.
Source: 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 US Population Data File is used with mortality data.
Note: 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. Suppression is used to avoid misinterpretation when rates are unstable.

State Cancer Registries may provide more current or more local data. Data presented on the State Cancer Profiles Web Site may differ from statistics reported by the State Cancer Registries (for more information).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Adams County, Barnes County, Benson County, Billings County, Bottineau County, Bowman County, Burke County, Cavalier County, Dickey County, Divide County, Dunn County, Eddy County, Emmons County, Foster County, Golden Valley County, Grand Forks County, Grant County, Griggs County, Hettinger County, Kidder County, LaMoure County, Logan County, McHenry County, McIntosh County, McKenzie County, McLean County, Mercer County, Morton County, Mountrail County, Nelson County, Oliver County, Pembina County, Pierce County, Ramsey County, Ransom County, Renville County, Richland County, Rolette County, Sargent County, Sheridan County, Sioux County, Slope County, Stark County, Steele County, Stutsman County, Towner County, Traill County, Walsh County, Ward County, Wells County, Williams County

Trend for the following could not be reliably determined due to small number of deaths per year:
Burleigh County, Cass County


Interpret Rankings provides insight into interpreting cancer 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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