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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 name
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)
York County 6 stable stable trend similar 7 30.6 (21.0, 44.0) 0.9 -0.1 (-2.0, 1.9)
Wheeler County
**
 		**
*
3 or fewer
*
*
**
Webster County
**
 		**
*
3 or fewer
*
*
**
Wayne County
**
 		** similar 4 37.4 (23.3, 57.8) 1.1
**
Washington County 8 falling falling trend similar 10 34.1 (24.9, 45.8) 1.0 -1.7 (-2.9, -0.5)
Valley County
**
 		**
*
3 or fewer
*
*
**
Thurston County
**
 		** similar 4 59.0 (35.6, 91.7) 1.7
**
Thomas County
**
 		**
*
3 or fewer
*
*
**
Thayer County
**
 		**
*
3 or fewer
*
*
**
Stanton County
**
 		**
*
3 or fewer
*
*
**
Sioux County
**
 		**
*
3 or fewer
*
*
**
Sherman County
**
 		**
*
3 or fewer
*
*
**
Sheridan County 6 stable stable trend similar 4 34.9 (20.5, 59.3) 1.0 -0.8 (-2.8, 1.2)
Seward County 6 stable stable trend similar 7 30.9 (21.1, 44.0) 0.9 -1.1 (-2.5, 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)
Saunders County 8 falling falling trend similar 10 30.2 (22.2, 40.6) 0.9 -1.7 (-2.9, -0.4)
Sarpy County 8 falling falling trend similar 57 33.7 (29.8, 38.0) 1.0 -8.8 (-14.3, -3.0)
Saline County 6 stable stable trend similar 6 37.3 (25.1, 53.5) 1.1 0.4 (-1.2, 2.1)
Rock County
**
 		**
*
3 or fewer
*
*
**
Richardson County 6 stable stable trend similar 6 42.4 (28.9, 62.3) 1.2 -0.6 (-2.4, 1.2)
Red Willow County 6 stable stable trend similar 7 44.2 (29.9, 63.5) 1.3 -0.6 (-1.9, 0.8)
Polk County
**
 		** similar 4 45.5 (27.1, 74.2) 1.3
**
Platte County 8 falling falling trend similar 13 29.7 (22.9, 38.2) 0.9 -4.3 (-7.1, -1.4)
Pierce County
**
 		** similar 4 36.2 (21.2, 59.0) 1.0
**
Phelps County
**
 		** similar 5 35.9 (23.2, 54.2) 1.0
**
Perkins County
**
 		**
*
3 or fewer
*
*
**
Pawnee County
**
 		**
*
3 or fewer
*
*
**
Otoe County 6 stable stable trend similar 9 34.9 (25.0, 47.9) 1.0 0.5 (-0.8, 1.9)
Nuckolls County 8 falling falling trend similar 3 42.5 (24.6, 73.3) 1.2 -2.3 (-4.0, -0.5)
Nemaha County 6 stable stable trend similar 4 36.7 (22.2, 58.8) 1.0 -0.4 (-2.4, 1.6)
Nance County
**
 		**
*
3 or fewer
*
*
**
Morrill County
**
 		**
*
3 or fewer
*
*
**
Merrick County 6 stable stable trend similar 4 32.2 (19.8, 51.0) 0.9 -1.4 (-3.1, 0.2)
McPherson County
**
 		**
*
3 or fewer
*
*
**
Madison County 8 falling falling trend similar 16 35.4 (27.8, 44.5) 1.0 -1.1 (-2.0, -0.1)
Loup County
**
 		**
*
3 or fewer
*
*
**
Logan County
**
 		**
*
3 or fewer
*
*
**
Lincoln County 8 falling falling trend similar 19 36.9 (29.8, 45.4) 1.1 -1.2 (-2.3, -0.1)
Lancaster County 9 falling falling trend lower 103 31.0 (28.4, 33.9) 0.9 -3.4 (-4.3, -2.4)
Knox County 6 stable stable trend similar 4 26.5 (15.6, 44.0) 0.8 0.7 (-1.3, 2.7)
Kimball County
**
 		**
*
3 or fewer
*
*
**
Keya Paha County
**
 		**
*
3 or fewer
*
*
**
Keith County 6 stable stable trend similar 5 32.2 (20.1, 50.9) 0.9 -1.3 (-3.1, 0.6)
Kearney County
**
 		**
*
3 or fewer
*
*
**
Johnson County
**
 		**
*
3 or fewer
*
*
**
Jefferson County 6 stable stable trend similar 6 46.4 (31.4, 68.4) 1.3 0.6 (-1.3, 2.6)
Howard County
**
 		**
*
3 or fewer
*
*
**
Hooker County
**
 		**
*
3 or fewer
*
*
**
Holt County 8 falling falling trend similar 4 24.4 (14.8, 39.2) 0.7 -9.4 (-16.7, -1.4)
Hitchcock County
**
 		**
*
3 or fewer
*
*
**
Hayes County
**
 		**
*
3 or fewer
*
*
**
Harlan County
**
 		**
*
3 or fewer
*
*
**
Hamilton County 6 stable stable trend similar 6 39.8 (26.3, 58.8) 1.1 -0.6 (-2.1, 1.0)
Hall County 8 falling falling trend similar 24 32.8 (27.1, 39.3) 0.9 -1.8 (-2.5, -1.2)
Greeley County
**
 		**
*
3 or fewer
*
*
**
Grant County
**
 		**
*
3 or fewer
*
*
**
Gosper County
**
 		**
*
3 or fewer
*
*
**
Garfield County
**
 		**
*
3 or fewer
*
*
**
Garden County
**
 		**
*
3 or fewer
*
*
**
Gage County 6 stable stable trend similar 14 42.5 (32.7, 54.7) 1.2 -0.4 (-1.5, 0.8)
Furnas County
**
 		** similar 3 40.9 (23.0, 70.5) 1.2
**
Frontier County
**
 		**
*
3 or fewer
*
*
**
Franklin County
**
 		** similar 4 56.7 (33.4, 97.9) 1.6
**
Fillmore County
**
 		** similar 4 40.7 (23.6, 67.6) 1.2
**
Dundy County
**
 		**
*
3 or fewer
*
*
**
Douglas County 8 falling falling trend similar 203 34.7 (32.6, 37.0) 1.0 -6.4 (-8.2, -4.5)
Dodge County 4 stable stable trend higher 26 50.6 (42.2, 60.5) 1.4 0.0 (-0.8, 0.8)
Dixon County
**
 		** similar 3 39.2 (22.3, 65.7) 1.1
**
Deuel County
**
 		**
*
3 or fewer
*
*
**
Dawson County 8 falling falling trend similar 10 31.7 (23.3, 42.4) 0.9 -1.4 (-2.5, -0.2)
Dawes County
**
 		** similar 5 42.5 (27.4, 64.3) 1.2
**
Dakota County 8 falling falling trend similar 10 44.8 (32.9, 59.6) 1.3 -1.5 (-2.7, -0.4)
Custer County 7 stable stable trend lower 4 21.3 (12.3, 35.3) 0.6 0.1 (-1.9, 2.1)
Cuming County 6 stable stable trend similar 5 34.2 (22.1, 52.1) 1.0 -0.9 (-2.6, 0.8)
Colfax County 6 stable stable trend similar 3 26.0 (14.7, 42.9) 0.7 -1.5 (-3.6, 0.6)
Clay County
**
 		**
*
3 or fewer
*
*
**
Cheyenne County
**
 		**
*
3 or fewer
*
*
**
Cherry County
**
 		**
*
3 or fewer
*
*
**
Chase County
**
 		**
*
3 or fewer
*
*
**
Cedar County 6 stable stable trend similar 4 29.5 (17.4, 48.2) 0.8 -0.9 (-2.5, 0.6)
Cass County 8 falling falling trend similar 16 43.0 (33.8, 54.2) 1.2 -1.3 (-2.4, -0.3)
Butler County 6 stable stable trend similar 5 46.9 (30.6, 70.0) 1.3 -0.6 (-2.1, 1.0)
Burt County 6 stable stable trend similar 5 39.0 (25.0, 60.8) 1.1 0.4 (-1.5, 2.3)
Buffalo County 9 falling falling trend lower 15 25.7 (20.0, 32.5) 0.7 -2.3 (-3.6, -1.0)
Brown County
**
 		**
*
3 or fewer
*
*
**
Boyd County
**
 		**
*
3 or fewer
*
*
**
Box Butte County 6 stable stable trend similar 5 35.8 (23.1, 53.6) 1.0 -1.3 (-3.2, 0.7)
Boone County
**
 		**
*
3 or fewer
*
*
**
Blaine County
**
 		**
*
3 or fewer
*
*
**
Banner County
**
 		**
*
3 or fewer
*
*
**
Arthur County
**
 		**
*
3 or fewer
*
*
**
Antelope County
**
 		**
*
3 or fewer
*
*
**
Adams County 8 falling falling trend similar 15 34.9 (27.2, 44.3) 1.0 -1.2 (-2.0, -0.3)
Notes:
Created by statecancerprofiles.cancer.gov on 06/15/2024 2:47 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 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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