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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

South Dakota Counties versus United States

All Cancer Sites

All Races, Female

Sorted by priority index

Explanation of Column Headers

State/County - The site and sex combination for this comparison.

Priority Index 1 - The priority index is based upon the direction of the trend and the rate comparison. An index of 1 is the highest priority - that trend is rising and the rate is already higher. An index of 9 is the lowest priority - the trend is falling and the rate is already lower.

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


United States


South Dakota


Fall River County


McCook County


Meade County


Minnehaha County


Aurora County


Beadle County


Bon Homme County


Brookings County


Butte County


Charles Mix County


Clark County


Clay County


Codington County


Corson County


Davison County


Day County


Dewey County


Douglas County


Edmunds County


Grant County


Hamlin County


Hughes County


Hutchinson County


Kingsbury County


Lake County


Marshall County


Moody County


Perkins County


Roberts County


Tripp County


Turner County


Union County


Walworth County


Yankton County


Brown County


Custer County


Gregory County


Lawrence County


Oglala Lakota/Shannon County


Pennington County


Spink County


Lincoln County


Brule County Deuel County Haakon County Hanson County Jackson County Lyman County Potter County Todd County Bennett County Buffalo County Campbell County Faulk County Hand County Harding County Hyde County Jerauld County Jones County McPherson County Mellette County Miner County Sanborn County Stanley County Sully County Ziebach County

Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 10:00 pm.

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). This website will use Oglala Lakota/Shannon until the next incidence/mortality data release.

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 trend estimates.
** 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 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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Bennett County, Buffalo County, Campbell County, Faulk County, Hand County, Harding County, Hyde County, Jerauld County, Jones County, McPherson County, Mellette County, Miner County, Sanborn County, Stanley County, Sully County, Ziebach County

Trend for the following could not be reliably determined due to small number of deaths per year:
Brule County, Deuel County, Haakon County, Hanson County, Jackson County, Lyman County, Potter 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.