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Rate/Trend Comparison by Cancer Table

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Death Rate/Trend Comparison by Cancer, 2014-2018

South Dakota Counties versus United States

All Cancer Sites

All Races, Male

  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
Shannon County
Priority 6: stable and similar

Bon Homme County
Brule County
Butte County
Charles Mix County
Clay County
Corson County
Day County
Dewey County
Grant County
Gregory County
Hamlin County
Hand County
Jackson County
Jerauld County
Kingsbury County
McPherson County
Moody County
Perkins County
Potter County
Sanborn County
Spink County
Priority 7: stable and below

Custer County
Tripp County
Falling
Trend
Priority 5: falling and above

Minnehaha County
Priority 8: falling and similar

Beadle County
Brookings County
Brown County
Codington County
Davison County
Deuel County
Fall River County
Hutchinson County
Lake County
Meade County
Pennington County
Roberts County
Turner County
Union County
Walworth County
Priority 9: falling and below

Hughes County
Lawrence County
Lincoln County
Marshall County
Yankton County
Notes:
Created by statecancerprofiles.cancer.gov on 01/19/2021 10:52 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.

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

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 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.

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