Mortality > Table
Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising and above Polk County |
Priority 2: rising and similar |
Priority 3: rising and below |
Stable Trend |
Priority 4: stable and above Brown County Mille Lacs County |
Priority 6: stable and similar Chippewa County Cook County Cottonwood County Faribault County Jackson County Kittson County Lake of the Woods County Mahnomen County Martin County Norman County Pipestone County Red Lake County Rock County Sibley County Stevens County Traverse County Wadena County Watonwan County Wilkin County Yellow Medicine County |
Priority 7: stable and below Murray County |
Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar Aitkin County Anoka County Becker County Beltrami County Benton County Big Stone County Blue Earth County Carlton County Cass County Chisago County Clay County Clearwater County Crow Wing County Dodge County Douglas County Fillmore County Freeborn County Goodhue County Grant County Hennepin County Houston County Hubbard County Isanti County Itasca County Kanabec County Koochiching County Lake County Le Sueur County Lincoln County Lyon County Marshall County McLeod County Meeker County Morrison County Mower County Nicollet County Nobles County Otter Tail County Pennington County Pine County Pope County Ramsey County Redwood County Renville County Rice County Roseau County Sherburne County St. Louis County Stearns County Steele County Swift County Wabasha County Waseca County Winona County Wright County |
Priority 9: falling and below Carver County Dakota County Kandiyohi County Lac qui Parle County Olmsted County Scott County Todd County Washington County |
Notes: Created by statecancerprofiles.cancer.gov on 03/28/2024 7:55 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 4.8.0.0. 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). 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. |