Rate/Trend Comparison by Cancer
|Death Rate/Trend Comparison by Cancer, death years through 2014
Minnesota Counties versus United States
All Cancer Sites
All Races, Both Sexes
|Above US Rate||Similar to US Rate||Below US Rate|
|Priority 1: rising and above
||Priority 2: rising and similar
||Priority 3: rising and below
|Priority 4: stable and above
Mille Lacs County
|Priority 6: stable and similar
Lake of the Woods County
Red Lake County
Yellow Medicine County
|Priority 7: stable and below
|Priority 5: falling and above
||Priority 8: falling and similar
Big Stone County
Crow Wing County
Le Sueur County
Otter Tail County
St. Louis County
|Priority 9: falling and below
Blue Earth County
Lac qui Parle County
Created by statecancerprofiles.cancer.gov on 04/25/2018 2:31 pm.
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 Regression Program (Version 188.8.131.52). Due to data availability issues, the time period and/or calculation method used in the calculation of the trends may differ for selected counties.
3 Rate ratio is the county rate divided by the US rate.
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 1969-2014 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).