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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2019-2023

Louisiana Parishes 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


Louisiana


Ascension Parish


Cameron Parish


De Soto Parish


East Baton Rouge Parish


Iberville Parish


Jefferson Parish


LaFourche Parish


Lafayette Parish


Orleans Parish


Rapides Parish


Richland Parish


St. Bernard Parish


St. Helena Parish


St. John the Baptist Parish


St. Tammany Parish


Vermilion Parish


Assumption Parish


Bienville Parish


Bossier Parish


Caldwell Parish


Catahoula Parish


Concordia Parish


East Feliciana Parish


Franklin Parish


La Salle Parish


Lincoln Parish


Madison Parish


Natchitoches Parish


Plaquemines Parish


Pointe Coupee Parish


Red River Parish


Sabine Parish


St. Charles Parish


St. James Parish


St. Martin Parish


West Baton Rouge Parish


West Carroll Parish


West Feliciana Parish


Winn Parish


Acadia Parish


Avoyelles Parish


Caddo Parish


Calcasieu Parish


Iberia Parish


Ouachita Parish


Tangipahoa Parish


Terrebonne Parish


Washington Parish


Allen Parish


Beauregard Parish


Claiborne Parish


East Carroll Parish


Evangeline Parish


Grant Parish


Livingston Parish


Morehouse Parish


St. Landry Parish


St. Mary Parish


Tensas Parish


Union Parish


Vernon Parish


Webster Parish


Jackson Parish


Jefferson Davis Parish




Notes:
Created by statecancerprofiles.cancer.gov on 03/13/2026 2:57 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

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. 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 parish 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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).

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 do not include Puerto Rico.