Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above |
Priority 2: rising and similar  |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above McCook County Minnehaha County |
Priority 6: stable and similar Aurora County Beadle County Bon Homme County Brookings County Brown County Butte County Charles Mix County Clay County Codington County Corson County Davison County Day County Dewey County Fall River County Faulk County Grant County Gregory County Hamlin County Hand County Hughes County Hutchinson County Kingsbury County Lake County Marshall County Meade County Moody County Perkins County Roberts County Turner County Union County Walworth County |
Priority 7: stable and below Lincoln County Tripp County |
| Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar Custer County Edmunds County Lawrence County Pennington County |
Priority 9: falling and below Spink County Yankton County |
| Notes: Created by statecancerprofiles.cancer.gov on 07/06/2025 12:45 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). This website now uses Oglala Lakota. 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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 5.3.0. 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: Buffalo County, Campbell County, Clark County, Douglas County, Haakon County, Harding County, Hyde County, Jackson 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: Bennett County, Brule County, Deuel County, Hanson County, Lyman County, Oglala Lakota 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. |
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