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Incidence Rates Table

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Incidence Rate Report for by County

Lung & Bronchus, 2009-2013

All Races (includes Hispanic), Both Sexes, All Ages

Sorted by Name
County
sort sort alphabetically by namedescending
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
sort sort by ratedescending
Average Annual Count
sort sort by countdescending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Idaho 6,10 51.1 (49.5, 52.7) 845 stable stable trend -2.1 (-6.1, 2.2)
US (SEER+NPCR) 1,10 62.4 (62.3, 62.6) 214,614 falling falling trend -2.5 (-3.0, -2.0)
Ada County 6,10 52.2 (48.8, 55.7) 191 stable stable trend -2.0 (-11.6, 8.6)
Adams County 6,10 69.5 (43.6, 110.1) 5 stable stable trend 15.7 (-48.6, 160.5)
Bannock County 6,10 41.0 (34.8, 48.0) 32 stable stable trend 2.4 (-23.6, 37.4)
Bear Lake County 6,10
*
3 or fewer
*
*
Benewah County 6,10 79.0 (58.3, 105.5) 10 stable stable trend -13.1 (-44.0, 34.7)
Bingham County 6,10 38.7 (31.0, 47.8) 18 stable stable trend -10.2 (-34.2, 22.4)
Blaine County 6,10 22.6 (14.0, 34.4) 5 stable stable trend -13.8 (-44.2, 33.3)
Boise County 6,10 69.2 (45.1, 103.1) 6 stable stable trend -6.8 (-52.1, 81.3)
Bonner County 6,10 54.3 (45.9, 64.0) 32 stable stable trend -0.4 (-11.1, 11.7)
Bonneville County 6,10 35.7 (30.5, 41.6) 35 stable stable trend -4.7 (-17.6, 10.2)
Boundary County 6,10 46.3 (32.3, 65.3) 7 stable stable trend 3.3 (-22.9, 38.4)
Butte County 6,10
*
3 or fewer
*
*
Camas County 6,10
*
3 or fewer
*
*
Canyon County 6,10 56.1 (51.2, 61.3) 99 stable stable trend -4.0 (-11.5, 4.1)
Caribou County 6,10
*
3 or fewer
*
*
Cassia County 6,10 34.0 (24.1, 46.6) 8 stable stable trend 5.4 (-37.9, 78.9)
Clark County 6,10
*
3 or fewer
*
*
Clearwater County 6,10 55.4 (39.3, 77.6) 8 stable stable trend 6.3 (-24.9, 50.4)
Custer County 6,10 52.4 (30.5, 87.6) 4 stable stable trend -17.2 (-41.5, 17.2)
Elmore County 6,10 72.4 (57.6, 89.8) 17 stable stable trend -5.3 (-33.4, 34.8)
Franklin County 6,10
*
3 or fewer
*
*
Fremont County 6,10 40.4 (27.1, 58.2) 6 stable stable trend 6.4 (-24.1, 49.3)
Gem County 6,10 67.1 (53.6, 83.6) 17 stable stable trend -12.9 (-38.2, 22.7)
Gooding County 6,10 66.9 (50.9, 86.5) 12 stable stable trend 9.3 (-14.9, 40.6)
Idaho County 6,10 48.2 (37.2, 62.3) 14 stable stable trend 11.1 (-7.4, 33.2)
Jefferson County 6,10 33.9 (23.6, 46.8) 7 stable stable trend 11.1 (-14.4, 44.2)
Jerome County 6,10 48.0 (35.6, 63.3) 10 stable stable trend -8.3 (-34.0, 27.4)
Kootenai County 6,10 56.6 (51.6, 62.1) 96 stable stable trend 2.4 (-1.7, 6.7)
Latah County 6,10 50.6 (40.1, 63.0) 17 stable stable trend 6.9 (-19.8, 42.4)
Lemhi County 6,10 46.5 (32.0, 67.7) 7 stable stable trend -6.9 (-43.6, 53.5)
Lewis County 6,10 66.5 (41.6, 105.4) 4 stable stable trend -10.4 (-29.5, 13.9)
Lincoln County 6,10
*
3 or fewer
*
*
Madison County 6,10
*
3 or fewer
*
*
Minidoka County 6,10 54.8 (42.0, 70.5) 13 stable stable trend 5.1 (-7.9, 20.0)
Nez Perce County 6,10 69.3 (59.7, 80.1) 38 stable stable trend -8.2 (-24.3, 11.3)
Oneida County 6,10
*
3 or fewer
*
*
Owyhee County 6,10 40.7 (26.7, 59.8) 5 stable stable trend -5.0 (-47.4, 71.7)
Payette County 6,10 64.8 (52.0, 80.1) 18 stable stable trend -4.6 (-9.1, 0.2)
Power County 6,10 41.4 (23.9, 66.9) 3
*
*
Shoshone County 6,10 98.7 (80.1, 121.1) 20 stable stable trend 1.0 (-7.9, 10.7)
Teton County 6,10
*
3 or fewer
*
*
Twin Falls County 6,10 53.4 (46.7, 60.9) 47 stable stable trend -8.9 (-21.1, 5.1)
Valley County 6,10 41.3 (26.8, 61.9) 6 stable stable trend 9.7 (-28.3, 68.0)
Washington County 6,10 68.3 (50.9, 90.7) 11 stable stable trend -5.8 (-39.4, 46.3)
Notes:
Created by statecancerprofiles.cancer.gov on 09/27/2016 4:56 pm.
Data for the United States does not include data from Nevada
State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2014 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each area for additional information.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission and SEER November 2015 submission as published in United States Cancer Statistics.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2015 data submission.
10 Source: Incidence data provided by the National Program of Cancer Registries (NPCR). EAPCs calculated by the National Cancer Institute using SEER*Stat. Rates are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2014 US Population Data File is used with NPCR November 2015 data.

Please note that the data comes from different sources. Due to different years of data availablility, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence 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.


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