Data Table for Rate/Trend Comparison by Cancer
Death Rate/Trend Comparison by Cancer, 2019-2023
Kansas Counties versus United States
Lung & Bronchus
All Races, Both Sexes
Sorted by priority index
Counties
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Priority Index1 1=highest 9=lowest 
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Recent Trend2 |
County Death Rate Compared to US Rate |
Average Annual Count
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Age-Adjusted Death Rate deaths per 100,000 (95% Confidence Interval)
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Rate Ratio3 County to US
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Recent 5-Year Trend2 in Death Rates (95% Confidence Interval)
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|---|---|---|---|---|---|---|---|
| United States | - | falling | - | 134,732 | 31.5 (31.4, 31.6) | - | -3.7 (-3.9, -3.5) |
| Kansas | - | falling | - | 1,323 | 35.6 (34.8, 36.5) | - | -2.7 (-3.2, -2.4) |
| Johnson County | 9 | falling | lower | 172 | 24.3 (22.6, 26.0) | 0.8 | -4.9 (-7.1, -3.9) |
| McPherson County | 9 | falling | lower | 12 | 24.6 (18.7, 32.0) | 0.8 | -2.5 (-4.0, -1.1) |
| Anderson County | 8 | falling | similar | 5 | 39.7 (25.6, 60.3) | 1.3 | -9.6 (-16.1, -5.6) |
| Atchison County | 8 | falling | similar | 7 | 32.8 (22.6, 46.5) | 1.0 | -2.8 (-4.9, -0.9) |
| Barton County | 8 | falling | similar | 12 | 31.0 (23.4, 40.6) | 1.0 | -2.2 (-4.1, -0.4) |
| Coffey County | 8 | falling | similar | 5 | 37.1 (23.7, 56.8) | 1.2 | -2.3 (-4.4, -0.3) |
| Douglas County | 8 | falling | similar | 35 | 29.7 (25.4, 34.6) | 0.9 | -2.1 (-3.6, -0.5) |
| Ellis County | 8 | falling | similar | 9 | 27.4 (19.6, 37.3) | 0.9 | -2.5 (-4.6, -0.6) |
| Finney County | 8 | falling | similar | 8 | 24.8 (17.7, 33.6) | 0.8 | -3.2 (-5.3, -1.2) |
| Ford County | 8 | falling | similar | 9 | 27.0 (19.4, 36.6) | 0.9 | -3.6 (-5.6, -1.8) |
| Greenwood County | 8 | falling | similar | 4 | 35.6 (20.6, 60.0) | 1.1 | -12.5 (-34.1, -3.5) |
| Harper County | 8 | falling | similar | 4 | 39.4 (23.3, 65.0) | 1.3 | -3.1 (-5.8, -1.0) |
| Harvey County | 8 | falling | similar | 15 | 28.4 (22.3, 36.0) | 0.9 | -2.5 (-4.0, -1.1) |
| Jackson County | 8 | falling | similar | 7 | 37.8 (26.4, 53.1) | 1.2 | -2.6 (-4.8, -0.5) |
| Lyon County | 8 | falling | similar | 11 | 26.9 (20.0, 35.5) | 0.9 | -2.5 (-5.1, -0.2) |
| Mitchell County | 8 | falling | similar | 4 | 37.9 (22.0, 62.9) | 1.2 | -3.1 (-7.9, -0.8) |
| Ottawa County | 8 | falling | similar | 3 | 37.6 (21.8, 62.6) | 1.2 | -2.5 (-5.3, 0.0) |
| Pottawatomie County | 8 | falling | similar | 10 | 32.4 (23.9, 43.2) | 1.0 | -2.1 (-4.0, -0.2) |
| Reno County | 8 | falling | similar | 34 | 36.6 (31.3, 42.8) | 1.2 | -4.1 (-11.9, -1.8) |
| Rice County | 8 | falling | similar | 6 | 42.2 (28.0, 62.1) | 1.3 | -25.4 (-48.9, -8.7) |
| Saline County | 8 | falling | similar | 27 | 33.8 (28.2, 40.2) | 1.1 | -6.5 (-22.7, -2.6) |
| Seward County | 8 | falling | similar | 5 | 27.6 (17.7, 40.8) | 0.9 | -3.9 (-6.8, -1.7) |
| Bourbon County | 6 | stable | similar | 6 | 31.7 (21.4, 45.8) | 1.0 | -2.0 (-4.6, 0.2) |
| Clay County | 6 | stable | similar | 7 | 48.4 (32.9, 70.1) | 1.5 | 0.2 (-2.5, 3.1) |
| Cloud County | 6 | stable | similar | 5 | 36.8 (23.6, 55.7) | 1.2 | 0.1 (-2.3, 2.5) |
| Dickinson County | 6 | stable | similar | 11 | 41.1 (30.9, 54.0) | 1.3 | -1.3 (-4.2, 1.4) |
| Doniphan County | 6 | stable | similar | 6 | 49.1 (32.3, 72.7) | 1.6 | -0.1 (-2.4, 2.2) |
| Linn County | 6 | stable | similar | 8 | 46.6 (32.7, 65.7) | 1.5 | -1.7 (-3.7, 0.4) |
| Marion County | 6 | stable | similar | 8 | 35.9 (25.3, 50.6) | 1.1 | 2.2 (-1.5, 13.4) |
| Marshall County | 6 | stable | similar | 6 | 42.8 (28.4, 62.6) | 1.4 | 0.7 (-1.6, 2.9) |
| Morris County | 6 | stable | similar | 4 | 33.6 (19.8, 56.9) | 1.1 | -1.6 (-4.9, 1.5) |
| Nemaha County | 6 | stable | similar | 6 | 34.7 (22.9, 51.4) | 1.1 | -0.5 (-3.1, 2.2) |
| Pawnee County | 6 | stable | similar | 5 | 47.7 (30.7, 73.2) | 1.5 | 1.9 (-0.6, 7.6) |
| Pratt County | 6 | stable | similar | 5 | 32.1 (20.3, 49.6) | 1.0 | -1.6 (-4.2, 0.9) |
| Republic County | 6 | stable | similar | 3 | 36.1 (20.9, 62.5) | 1.1 | 0.0 (-2.3, 2.4) |
| Riley County | 6 | stable | similar | 17 | 32.8 (26.1, 40.7) | 1.0 | -1.8 (-3.8, 0.2) |
| Rooks County | 6 | stable | similar | 5 | 54.0 (33.7, 84.7) | 1.7 | -0.2 (-5.1, 5.1) |
| Russell County | 6 | stable | similar | 5 | 40.7 (25.9, 63.1) | 1.3 | -0.5 (-3.8, 2.7) |
| Butler County | 5 | falling | higher | 32 | 38.7 (32.8, 45.4) | 1.2 | -3.7 (-15.0, -1.9) |
| Cherokee County | 5 | falling | higher | 17 | 57.3 (45.4, 71.7) | 1.8 | -1.8 (-2.9, -0.7) |
| Cowley County | 5 | falling | higher | 23 | 46.3 (38.1, 56.0) | 1.5 | -2.3 (-3.9, -0.9) |
| Leavenworth County | 5 | falling | higher | 39 | 39.2 (33.8, 45.3) | 1.2 | -8.4 (-19.0, -1.8) |
| Montgomery County | 5 | falling | higher | 21 | 44.9 (36.7, 54.7) | 1.4 | -2.4 (-3.5, -1.4) |
| Osage County | 5 | falling | higher | 11 | 46.2 (34.5, 61.2) | 1.5 | -2.3 (-4.4, -0.5) |
| Sedgwick County | 5 | falling | higher | 241 | 38.7 (36.5, 41.0) | 1.2 | -2.4 (-3.0, -1.8) |
| Shawnee County | 5 | falling | higher | 91 | 35.9 (32.6, 39.5) | 1.1 | -5.6 (-13.3, -2.8) |
| Wyandotte County | 5 | falling | higher | 88 | 51.6 (46.7, 56.8) | 1.6 | -2.4 (-3.3, -1.6) |
| Allen County | 4 | stable | higher | 10 | 50.6 (37.0, 68.2) | 1.6 | -0.7 (-3.0, 1.5) |
| Crawford County | 4 | stable | higher | 22 | 47.5 (38.9, 57.5) | 1.5 | -0.8 (-2.5, 0.9) |
| Franklin County | 4 | stable | higher | 16 | 45.9 (36.2, 57.7) | 1.5 | -1.0 (-2.9, 0.9) |
| Geary County | 4 | stable | higher | 17 | 69.0 (54.8, 85.5) | 2.2 | 0.2 (-1.1, 1.6) |
| Jefferson County | 4 | stable | higher | 12 | 43.6 (33.3, 56.6) | 1.4 | -1.7 (-4.2, 0.6) |
| Labette County | 4 | stable | higher | 16 | 50.7 (40.1, 63.6) | 1.6 | -1.6 (-3.8, 0.4) |
| Miami County | 4 | stable | higher | 20 | 41.1 (33.3, 50.4) | 1.3 | -0.9 (-2.6, 0.9) |
| Neosho County | 4 | stable | higher | 11 | 45.3 (33.6, 60.3) | 1.4 | -1.6 (-4.0, 0.6) |
| Sumner County | 4 | stable | higher | 18 | 52.2 (41.6, 65.1) | 1.7 | -1.0 (-2.5, 0.5) |
| Wilson County | 4 | stable | higher | 7 | 52.6 (35.9, 75.4) | 1.7 | -0.3 (-3.0, 2.2) |
| Wabaunsee County | 2 | rising | similar | 5 | 47.5 (30.5, 72.0) | 1.5 | 4.1 (1.5, 9.4) |
| Kingman County | 1 | rising | higher | 7 | 66.5 (46.0, 94.1) | 2.1 | 14.9 (2.1, 50.4) |
| Barber County |
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** | similar | 4 | 51.8 (30.3, 86.1) | 1.6 |
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| Brown County |
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** | higher | 8 | 55.6 (38.3, 78.7) | 1.8 |
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| Elk County |
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** | higher | 3 | 68.6 (39.7, 119.8) | 2.2 |
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| Washington County |
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** | similar | 3 | 31.7 (18.0, 54.6) | 1.0 |
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| Chase County |
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** |
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| Chautauqua County |
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** |
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| Cheyenne County |
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** |
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| Clark County |
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** |
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| Comanche County |
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** |
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| Decatur County |
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** |
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| Edwards County |
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** |
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| Ellsworth County |
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** |
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| Gove County |
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** |
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| Graham County |
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** |
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| Grant County |
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** |
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| Gray County |
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** |
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| Greeley County |
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** |
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| Hamilton County |
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** |
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| Haskell County |
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** |
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| Hodgeman County |
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** |
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| Jewell County |
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** |
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| Kearny County |
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** |
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| Kiowa County |
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** |
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| Lane County |
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** |
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| Lincoln County |
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** |
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| Logan County |
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** |
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| Meade County |
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** |
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| Morton County |
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** |
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| Ness County |
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** |
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| Norton County |
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** |
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| Osborne County |
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** |
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| Phillips County |
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** |
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| Rawlins County |
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** |
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| Rush County |
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** |
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| Scott County |
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** |
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| Sheridan County |
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** |
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| Sherman County |
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** |
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| Smith County |
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** |
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| Stafford County |
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** |
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| Stanton County |
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** |
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| Stevens County |
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** |
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| Thomas County |
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** |
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| Trego County |
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** |
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| Wallace County |
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** |
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| Wichita County |
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** |
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| Woodson County |
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** |
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Notes:
Created by statecancerprofiles.cancer.gov on 03/15/2026 10:55 pm.
* 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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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:
Chase County, Chautauqua County, Cheyenne County, Clark County, Comanche County, Decatur County, Edwards County, Ellsworth County, Gove County, Graham County, Grant County, Gray County, Greeley County, Hamilton County, Haskell County, Hodgeman County, Jewell County, Kearny County, Kiowa County, Lane County, Lincoln County, Logan County, Meade County, Morton County, Ness County, Norton County, Osborne County, Phillips County, Rawlins County, Rush County, Scott County, Sheridan County, Sherman County, Smith County, Stafford County, Stanton County, Stevens County, Thomas County, Trego County, Wallace County, Wichita County, Woodson County
Trend for the following could not be reliably determined due to small number of deaths per year:
Barber County, Brown County, Elk County, Washington 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 do not include Puerto Rico.
Created by statecancerprofiles.cancer.gov on 03/15/2026 10:55 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
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 > 1.10Similar
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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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:
Chase County, Chautauqua County, Cheyenne County, Clark County, Comanche County, Decatur County, Edwards County, Ellsworth County, Gove County, Graham County, Grant County, Gray County, Greeley County, Hamilton County, Haskell County, Hodgeman County, Jewell County, Kearny County, Kiowa County, Lane County, Lincoln County, Logan County, Meade County, Morton County, Ness County, Norton County, Osborne County, Phillips County, Rawlins County, Rush County, Scott County, Sheridan County, Sherman County, Smith County, Stafford County, Stanton County, Stevens County, Thomas County, Trego County, Wallace County, Wichita County, Woodson County
Trend for the following could not be reliably determined due to small number of deaths per year:
Barber County, Brown County, Elk County, Washington 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 do not include Puerto Rico.