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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Nebraska Counties versus United States

Lung & Bronchus

All Races, Both Sexes

Sorted by priority index
Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index descending 		Recent Trend2
 County Death
Rate
Compared
to
US Rate
 Average Annual Count
sort by count descending 		Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		Rate
Ratio3
County
to
US
sort by rate descending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend descending
United States - falling falling trend - 142,497 35.0 (34.9, 35.0) - -4.8 (-5.1, -4.6)
Nebraska - falling falling trend - 792 33.8 (32.7, 34.9) - -6.3 (-8.1, -4.5)
Dodge County 4 stable stable trend higher 26 50.6 (42.2, 60.5) 1.4 0.0 (-0.8, 0.8)
Box Butte County 6 stable stable trend similar 5 35.8 (23.1, 53.6) 1.0 -1.3 (-3.2, 0.7)
Burt County 6 stable stable trend similar 5 39.0 (25.0, 60.8) 1.1 0.4 (-1.5, 2.3)
Butler County 6 stable stable trend similar 5 46.9 (30.6, 70.0) 1.3 -0.6 (-2.1, 1.0)
Cedar County 6 stable stable trend similar 4 29.5 (17.4, 48.2) 0.8 -0.9 (-2.5, 0.6)
Colfax County 6 stable stable trend similar 3 26.0 (14.7, 42.9) 0.7 -1.5 (-3.6, 0.6)
Cuming County 6 stable stable trend similar 5 34.2 (22.1, 52.1) 1.0 -0.9 (-2.6, 0.8)
Gage County 6 stable stable trend similar 14 42.5 (32.7, 54.7) 1.2 -0.4 (-1.5, 0.8)
Hamilton County 6 stable stable trend similar 6 39.8 (26.3, 58.8) 1.1 -0.6 (-2.1, 1.0)
Jefferson County 6 stable stable trend similar 6 46.4 (31.4, 68.4) 1.3 0.6 (-1.3, 2.6)
Keith County 6 stable stable trend similar 5 32.2 (20.1, 50.9) 0.9 -1.3 (-3.1, 0.6)
Knox County 6 stable stable trend similar 4 26.5 (15.6, 44.0) 0.8 0.7 (-1.3, 2.7)
Merrick County 6 stable stable trend similar 4 32.2 (19.8, 51.0) 0.9 -1.4 (-3.1, 0.2)
Nemaha County 6 stable stable trend similar 4 36.7 (22.2, 58.8) 1.0 -0.4 (-2.4, 1.6)
Otoe County 6 stable stable trend similar 9 34.9 (25.0, 47.9) 1.0 0.5 (-0.8, 1.9)
Red Willow County 6 stable stable trend similar 7 44.2 (29.9, 63.5) 1.3 -0.6 (-1.9, 0.8)
Richardson County 6 stable stable trend similar 6 42.4 (28.9, 62.3) 1.2 -0.6 (-2.4, 1.2)
Saline County 6 stable stable trend similar 6 37.3 (25.1, 53.5) 1.1 0.4 (-1.2, 2.1)
Seward County 6 stable stable trend similar 7 30.9 (21.1, 44.0) 0.9 -1.1 (-2.5, 0.4)
Sheridan County 6 stable stable trend similar 4 34.9 (20.5, 59.3) 1.0 -0.8 (-2.8, 1.2)
York County 6 stable stable trend similar 7 30.6 (21.0, 44.0) 0.9 -0.1 (-2.0, 1.9)
Custer County 7 stable stable trend lower 4 21.3 (12.3, 35.3) 0.6 0.1 (-1.9, 2.1)
Adams County 8 falling falling trend similar 15 34.9 (27.2, 44.3) 1.0 -1.2 (-2.0, -0.3)
Cass County 8 falling falling trend similar 16 43.0 (33.8, 54.2) 1.2 -1.3 (-2.4, -0.3)
Dakota County 8 falling falling trend similar 10 44.8 (32.9, 59.6) 1.3 -1.5 (-2.7, -0.4)
Dawson County 8 falling falling trend similar 10 31.7 (23.3, 42.4) 0.9 -1.4 (-2.5, -0.2)
Douglas County 8 falling falling trend similar 203 34.7 (32.6, 37.0) 1.0 -6.4 (-8.2, -4.5)
Hall County 8 falling falling trend similar 24 32.8 (27.1, 39.3) 0.9 -1.8 (-2.5, -1.2)
Holt County 8 falling falling trend similar 4 24.4 (14.8, 39.2) 0.7 -9.4 (-16.7, -1.4)
Lincoln County 8 falling falling trend similar 19 36.9 (29.8, 45.4) 1.1 -1.2 (-2.3, -0.1)
Madison County 8 falling falling trend similar 16 35.4 (27.8, 44.5) 1.0 -1.1 (-2.0, -0.1)
Nuckolls County 8 falling falling trend similar 3 42.5 (24.6, 73.3) 1.2 -2.3 (-4.0, -0.5)
Platte County 8 falling falling trend similar 13 29.7 (22.9, 38.2) 0.9 -4.3 (-7.1, -1.4)
Sarpy County 8 falling falling trend similar 57 33.7 (29.8, 38.0) 1.0 -8.8 (-14.3, -3.0)
Saunders County 8 falling falling trend similar 10 30.2 (22.2, 40.6) 0.9 -1.7 (-2.9, -0.4)
Scotts Bluff County 8 falling falling trend similar 17 33.5 (26.6, 41.9) 1.0 -1.2 (-2.2, -0.1)
Washington County 8 falling falling trend similar 10 34.1 (24.9, 45.8) 1.0 -1.7 (-2.9, -0.5)
Buffalo County 9 falling falling trend lower 15 25.7 (20.0, 32.5) 0.7 -2.3 (-3.6, -1.0)
Lancaster County 9 falling falling trend lower 103 31.0 (28.4, 33.9) 0.9 -3.4 (-4.3, -2.4)
Dawes County
**
 		** similar 5 42.5 (27.4, 64.3) 1.2
**
Dixon County
**
 		** similar 3 39.2 (22.3, 65.7) 1.1
**
Fillmore County
**
 		** similar 4 40.7 (23.6, 67.6) 1.2
**
Franklin County
**
 		** similar 4 56.7 (33.4, 97.9) 1.6
**
Furnas County
**
 		** similar 3 40.9 (23.0, 70.5) 1.2
**
Phelps County
**
 		** similar 5 35.9 (23.2, 54.2) 1.0
**
Pierce County
**
 		** similar 4 36.2 (21.2, 59.0) 1.0
**
Polk County
**
 		** similar 4 45.5 (27.1, 74.2) 1.3
**
Thurston County
**
 		** similar 4 59.0 (35.6, 91.7) 1.7
**
Wayne County
**
 		** similar 4 37.4 (23.3, 57.8) 1.1
**
Antelope County
**
 		**
*
3 or fewer
*
*
**
Arthur County
**
 		**
*
3 or fewer
*
*
**
Banner County
**
 		**
*
3 or fewer
*
*
**
Blaine County
**
 		**
*
3 or fewer
*
*
**
Boone County
**
 		**
*
3 or fewer
*
*
**
Boyd County
**
 		**
*
3 or fewer
*
*
**
Brown County
**
 		**
*
3 or fewer
*
*
**
Chase County
**
 		**
*
3 or fewer
*
*
**
Cherry County
**
 		**
*
3 or fewer
*
*
**
Cheyenne County
**
 		**
*
3 or fewer
*
*
**
Clay County
**
 		**
*
3 or fewer
*
*
**
Deuel County
**
 		**
*
3 or fewer
*
*
**
Dundy County
**
 		**
*
3 or fewer
*
*
**
Frontier County
**
 		**
*
3 or fewer
*
*
**
Garden County
**
 		**
*
3 or fewer
*
*
**
Garfield County
**
 		**
*
3 or fewer
*
*
**
Gosper County
**
 		**
*
3 or fewer
*
*
**
Grant County
**
 		**
*
3 or fewer
*
*
**
Greeley County
**
 		**
*
3 or fewer
*
*
**
Harlan County
**
 		**
*
3 or fewer
*
*
**
Hayes County
**
 		**
*
3 or fewer
*
*
**
Hitchcock County
**
 		**
*
3 or fewer
*
*
**
Hooker County
**
 		**
*
3 or fewer
*
*
**
Howard County
**
 		**
*
3 or fewer
*
*
**
Johnson County
**
 		**
*
3 or fewer
*
*
**
Kearney County
**
 		**
*
3 or fewer
*
*
**
Keya Paha County
**
 		**
*
3 or fewer
*
*
**
Kimball County
**
 		**
*
3 or fewer
*
*
**
Logan County
**
 		**
*
3 or fewer
*
*
**
Loup County
**
 		**
*
3 or fewer
*
*
**
McPherson County
**
 		**
*
3 or fewer
*
*
**
Morrill County
**
 		**
*
3 or fewer
*
*
**
Nance County
**
 		**
*
3 or fewer
*
*
**
Pawnee County
**
 		**
*
3 or fewer
*
*
**
Perkins County
**
 		**
*
3 or fewer
*
*
**
Rock County
**
 		**
*
3 or fewer
*
*
**
Sherman County
**
 		**
*
3 or fewer
*
*
**
Sioux County
**
 		**
*
3 or fewer
*
*
**
Stanton County
**
 		**
*
3 or fewer
*
*
**
Thayer County
**
 		**
*
3 or fewer
*
*
**
Thomas County
**
 		**
*
3 or fewer
*
*
**
Valley County
**
 		**
*
3 or fewer
*
*
**
Webster County
**
 		**
*
3 or fewer
*
*
**
Wheeler County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/03/2024 7:17 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.

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