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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

Childhood (Ages <20, All Sites)

All Races, Both Sexes

Sorted by priorityindex

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


Douglas County


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 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 12/10/2023 6:52 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.
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:
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, 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


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.