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Interpretation of Rate/Trend Comparison by Cancer Data

Death Rate/Trend Comparison by Cancer, 2016-2020

Nebraska Counties versus United States

Lung & Bronchus

All Races, Both Sexes

Sorted by name

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


Nebraska


Adams County


Antelope County


Arthur County


Banner County


Blaine County


Boone County


Box Butte County


Boyd County


Brown County


Buffalo County


Burt County


Butler County


Cass County


Cedar County


Chase County


Cherry County


Cheyenne County


Clay County


Colfax County


Cuming County


Custer County


Dakota County


Dawes County


Dawson County


Deuel County


Dixon County


Dodge County


Douglas County


Dundy County


Fillmore County


Franklin County


Frontier County


Furnas County


Gage County


Garden County


Garfield County


Gosper County


Grant County


Greeley County


Hall County


Hamilton County


Harlan County


Hayes County


Hitchcock County


Holt County


Hooker County


Howard County


Jefferson County


Johnson County


Kearney County


Keith County


Keya Paha County


Kimball County


Knox County


Lancaster County


Lincoln County


Logan County


Loup County


Madison County


McPherson County


Merrick County


Morrill County


Nance County


Nemaha County


Nuckolls County


Otoe County


Pawnee County


Perkins County


Phelps County


Pierce County


Platte County


Polk County


Red Willow County


Richardson County


Rock County


Saline County


Sarpy County


Saunders County


Scotts Bluff County


Seward County


Sheridan County


Sherman County


Sioux County


Stanton County


Thayer County


Thomas County


Thurston County


Valley County


Washington County


Wayne County


Webster County


Wheeler County


York County




Notes:
Created by statecancerprofiles.cancer.gov on 06/22/2024 6:48 am.

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 4.8.0.0. 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 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:
Antelope County, Arthur County, Banner County, Blaine County, Boone County, Boyd County, Brown County, Chase County, Cherry County, Cheyenne County, Clay County, Deuel County, Dundy County, Frontier County, Garden County, Garfield County, Gosper County, Grant County, Greeley County, Harlan County, Hayes County, Hitchcock County, Hooker County, Howard County, Johnson County, Kearney County, Keya Paha County, Kimball County, Logan County, Loup County, McPherson County, Morrill County, Nance County, Pawnee County, Perkins County, Rock County, Sherman County, Sioux County, Stanton County, Thayer County, Thomas County, Valley County, Webster County, Wheeler County

Trend for the following could not be reliably determined due to small number of deaths per year:
Dawes County, Dixon County, Fillmore County, Franklin County, Furnas County, Phelps County, Pierce County, Polk County, Thurston County, Wayne 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.