Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, death years through 2011
South Dakota Counties versus United States

All Cancer Sites
All Races, Both Sexes
Sorted by Priority Index


United States


South Dakota


Butte County


Fall River County


Aurora County


Beadle County


Bennett County


Bon Homme County


Brule County


Charles Mix County


Clark County


Clay County


Corson County


Custer County


Davison County


Day County


Dewey County


Douglas County


Grant County


Gregory County


Haakon County


Hamlin County


Hanson County


Hughes County


Hutchinson County


Jackson County


Jerauld County


Kingsbury County


Lake County


Lawrence County


Lyman County


Marshall County


McCook County


Meade County


Mellette County


Miner County


Moody County


Perkins County


Potter County


Roberts County


Stanley County


Todd County


Union County


Brookings County


Hand County


McPherson County


Sanborn County


Tripp County


Yankton County


Brown County


Codington County


Edmunds County


Minnehaha County


Pennington County


Shannon County


Turner County


Deuel County


Faulk County


Lincoln County


Spink County


Walworth County


Buffalo County


Campbell County


Harding County


Hyde County


Jones County


Sully County


Ziebach County


Notes:
Created by statecancerprofiles.cancer.gov on 10/01/2014 6:21 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
* Data has been suppressed to ensure confidentiality and stability of rate and trendestimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
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 Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Regression Program. Due to data availability issues, the time period used in the calculation of the joinpoint regression model 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 1969-2012 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).