Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above |
Priority 2: rising and similar  Lac qui Parle County Todd County |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above Carlton County Kanabec County Mahnomen County Norman County Pipestone County Sherburne County Wadena County |
Priority 6: stable and similar Benton County Blue Earth County Brown County Cass County Chippewa County Clay County Cottonwood County Douglas County Faribault County Fillmore County Freeborn County Goodhue County Grant County Houston County Hubbard County Isanti County Jackson County Lyon County Martin County McLeod County Meeker County Morrison County Murray County Nobles County Pennington County Polk County Pope County Redwood County Renville County Roseau County Swift County Waseca County Watonwan County Winona County Yellow Medicine County |
Priority 7: stable and below |
| Falling Trend |
Priority 5: falling and above Chisago County Itasca County Pine County |
Priority 8: falling and similar Aitkin County Becker County Beltrami County Crow Wing County Kandiyohi County Koochiching County Lake County Le Sueur County Marshall County Mille Lacs County Mower County Otter Tail County Ramsey County Rice County Scott County Sibley County St. Louis County Stearns County Steele County Wabasha County Wright County |
Priority 9: falling and below Anoka County Carver County Dakota County Dodge County Hennepin County Nicollet County Olmsted County Washington County |
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Notes: Created by statecancerprofiles.cancer.gov on 03/15/2026 6:05 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). 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. 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: Big Stone County, Cook County, Lake of the Woods County, Red Lake County, Stevens County, Traverse County Trend for the following could not be reliably determined due to small number of deaths per year: Clearwater County, Kittson County, Lincoln County, Rock County, Wilkin 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 do not include Puerto Rico. |
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