Return to Home Mortality > Table > Interpret

Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2012-2016

Utah Counties versus United States

All Cancer Sites

All Races, Both Sexes

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

  • Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed.
  • Data is currently being suppressed if there are fewer than 16 counts for the time period.

  • Line by Line Interpretation of the Report


    United States


    Utah


    Beaver County


    Carbon County


    Duchesne County


    Iron County


    Kane County


    San Juan County


    Wayne County


    Juab County


    Millard County


    Sevier County


    Grand County


    Box Elder County


    Cache County


    Davis County


    Emery County


    Garfield County


    Morgan County


    Salt Lake County


    Sanpete County


    Summit County


    Tooele County


    Uintah County


    Utah County


    Wasatch County


    Washington County


    Weber County


    Rich County Daggett County Piute County

    Notes:
    Created by statecancerprofiles.cancer.gov on 03/30/2020 10:50 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 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 4.7.0.0. 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 1969-2016 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:
    Daggett County, Piute County

    Trend for the following could not be reliably determined due to small number of deaths per year:
    Rich 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.