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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2019-2023

Kansas Counties versus United States

Lung & Bronchus

All Races, Both Sexes

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


Kansas


Kingman County


Wabaunsee County


Allen County


Crawford County


Franklin County


Geary County


Jefferson County


Labette County


Miami County


Neosho County


Sumner County


Wilson County


Butler County


Cherokee County


Cowley County


Leavenworth County


Montgomery County


Osage County


Sedgwick County


Shawnee County


Wyandotte County


Bourbon County


Clay County


Cloud County


Dickinson County


Doniphan County


Linn County


Marion County


Marshall County


Morris County


Nemaha County


Pawnee County


Pratt County


Republic County


Riley County


Rooks County


Russell County


Anderson County


Atchison County


Barton County


Coffey County


Douglas County


Ellis County


Finney County


Ford County


Greenwood County


Harper County


Harvey County


Jackson County


Lyon County


Mitchell County


Ottawa County


Pottawatomie County


Reno County


Rice County


Saline County


Seward County


Johnson County


McPherson County


Barber County Brown County Elk County Washington County Chase County Chautauqua County Cheyenne County Clark County Comanche County Decatur County Edwards County Ellsworth County Gove County Graham County Grant County Gray County Greeley County Hamilton County Haskell County Hodgeman County Jewell County Kearny County Kiowa County Lane County Lincoln County Logan County Meade County Morton County Ness County Norton County Osborne County Phillips County Rawlins County Rush County Scott County Sheridan County Sherman County Smith County Stafford County Stanton County Stevens County Thomas County Trego County Wallace County Wichita County Woodson County

Notes:
Created by statecancerprofiles.cancer.gov on 03/22/2026 1:10 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. 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 (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).

Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Chase County, Chautauqua County, Cheyenne County, Clark County, Comanche County, Decatur County, Edwards County, Ellsworth County, Gove County, Graham County, Grant County, Gray County, Greeley County, Hamilton County, Haskell County, Hodgeman County, Jewell County, Kearny County, Kiowa County, Lane County, Lincoln County, Logan County, Meade County, Morton County, Ness County, Norton County, Osborne County, Phillips County, Rawlins County, Rush County, Scott County, Sheridan County, Sherman County, Smith County, Stafford County, Stanton County, Stevens County, Thomas County, Trego County, Wallace County, Wichita County, Woodson County

Trend for the following could not be reliably determined due to small number of deaths per year:
Barber County, Brown County, Elk County, Washington 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 do not include Puerto Rico.