Death Rate/Trend Comparison by Cancer, death years through 2009
Nebraska Counties versus United States
All Cancer Sites
All Races, Both Sexes
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Above US Rate |
Similar to US Rate |
Below US Rate |
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Rising
Trend |
Priority 1: rising  and above
[none] |
Priority 2: rising and similar 
Burt County
Seward County |
Priority 3: rising and below 
[none] |
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Stable
Trend |
Priority 4: stable  and above
[none] |
Priority 6: stable and similar
Boone County
Box Butte County
Boyd County
Brown County
Buffalo County
Cass County
Cherry County
Cheyenne County
Clay County
Colfax County
Custer County
Dakota County
Dawes County
Dawson County
Deuel County
Dixon County
Dodge County
Dundy County
Fillmore County
Frontier County
Furnas County
Garden County
Gosper County
Greeley County
Hamilton County
Harlan County
Hitchcock County
Holt County
Howard County
Jefferson County
Johnson County
Keith County
Kimball County
Knox County
Lincoln County
Madison County
Merrick County
Morrill County
Nance County
Nemaha County
Nuckolls County
Otoe County
Pawnee County
Perkins County
Phelps County
Pierce County
Red Willow County
Richardson County
Saline County
Saunders County
Sheridan County
Sherman County
Stanton County
Thayer County
Thurston County
Valley County
Washington County
Webster County
York County |
Priority 7: stable and below
Antelope County
Butler County
Chase County
Franklin County
Kearney County
Polk County |
|
Falling
Trend |
Priority 5: falling and above
[none] |
Priority 8: falling and similar
Nebraska
Adams County
Cuming County
Douglas County
Gage County
Hall County
Lancaster County
Rock County
Sarpy County
Scotts Bluff County |
Priority 9: falling and below
Cedar County
Garfield County
Platte County
Wayne County |
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Created by statecancerprofiles.cancer.gov on 05/22/2013 3:20 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
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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 Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Regression Program. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected racial groups or counties.
3 Rate ratio is the county rate divided by the US rate.
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 2010 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 populations included with the data release have been adjusted for the population shifts due to hurricanes Katrina and Rita for 62 counties and parishes in Alabama, Mississippi, Louisiana, and Texas. The 1969-2009 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:
Arthur County, Banner County, Blaine County, Grant County, Hooker County, Keya Paha County, Logan County, Loup County, McPherson County, Sioux County, Thomas County, Wheeler County
Trend for the following could not be reliably determined due to small number of deaths per year:
Hayes County |
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