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Interpretation of Death Rates Data

Death Rate Report for Louisiana by Parish

All Cancer Sites, 2011-2015

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Rate

Explanation of Column Headers

Objective - The objective of 161.4 is from the Healthy People 2020 project done by the Centers for Disease Control and Prevention.

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

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


    Louisiana


    United States


    Catahoula Parish


    East Carroll Parish


    Red River Parish


    Jefferson Davis Parish


    Washington Parish


    Winn Parish


    Bienville Parish


    Iberville Parish


    Acadia Parish


    St. Landry Parish


    Terrebonne Parish


    Evangeline Parish


    Jackson Parish


    West Baton Rouge Parish


    St. Bernard Parish


    Concordia Parish


    Allen Parish


    East Feliciana Parish


    Vernon Parish


    St. Mary Parish


    De Soto Parish


    Avoyelles Parish


    Iberia Parish


    St. Martin Parish


    West Carroll Parish


    Union Parish


    Grant Parish


    Caddo Parish


    LaFourche Parish


    Ouachita Parish


    Tangipahoa Parish


    Morehouse Parish


    Webster Parish


    Plaquemines Parish


    Calcasieu Parish


    Caldwell Parish


    St. John the Baptist Parish


    Lincoln Parish


    St. Helena Parish


    Rapides Parish


    St. Charles Parish


    Assumption Parish


    Beauregard Parish


    Richland Parish


    Natchitoches Parish


    Sabine Parish


    Orleans Parish


    Lafayette Parish


    Jefferson Parish


    St. James Parish


    Livingston Parish


    Madison Parish


    Pointe Coupee Parish


    Claiborne Parish


    East Baton Rouge Parish


    La Salle Parish


    Vermilion Parish


    St. Tammany Parish


    Bossier Parish


    West Feliciana Parish


    Ascension Parish


    Franklin Parish


    Tensas Parish


    Cameron Parish




    Notes:
    Created by statecancerprofiles.cancer.gov on 05/26/2019 9:04 pm.

    State Cancer Registries may provide more current or more local data.
    Trend
    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.

    † Death rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2015 US Population Data File is used for mortality data.
    The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

    Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.



    Please note that the data comes from different sources. Due to different years of data availablility, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

    Interpret Rankings provides insight into interpreting cancer incidence 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.