Mortality > Table
Rate/Trend Comparison by Cancer Table
|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
|Priority 6: stable and similar
Bon Homme County
Charles Mix County
|Priority 7: stable and below
|Priority 5: falling and above
|Priority 8: falling and similar
Fall River County
|Priority 9: falling and below
Created by statecancerprofiles.cancer.gov on 06/12/2021 10:34 am.
South Dakota County Name Change: please note that Shannon County, SD (FIPS code=46113) was renamed effective May 1, 2015, and the new name is Oglala Lakota County (FIPS Code=46102). Due to the nature of data submissions, we will use the older code/name this year and transition to the new code/name with a future data release.
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 126.96.36.199. 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 1969-2017 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:
Buffalo County, Campbell County, Douglas County, Edmunds County, Faulk County, Haakon County, Harding County, Hyde County, Jones County, Mellette County, Sully County, Ziebach County
Trend for the following could not be reliably determined due to small number of deaths per year:
Aurora County, Bennett County, Clark County, Hanson County, Lyman County, Miner County, Stanley County, Todd 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.