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Incidence Rates Table

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Incidence Rate Report for Idaho by County

All Races (includes Hispanic), Both Sexes, Colon & Rectum, All Ages
Sorted by Rate
County
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Annual Incidence Rate
over rate period
(95% Confidence Interval)

sort sort by ratedescending
Average Annual Count
over rate period
sort sort by countdescending
Rate Period
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
sort sort by trenddescending
Idaho 6,10 38.2 (36.9, 39.6) 615 2008-2012 stable stable trend -3.3 (-8.5, 2.2)
US (SEER+NPCR) 1,10 41.9 (41.8, 42.0) 140,433 § 2008-2012 falling falling trend -3.9 (-4.7, -3.0)
Blaine County 6,10 22.6 (14.1, 34.3) 5 2008-2012
*
*
Cassia County 6,10 25.7 (17.4, 36.6) 6 2008-2012
*
*
Valley County 6,10 26.2 (15.3, 43.2) 4 2008-2012
*
*
Boundary County 6,10 29.1 (17.9, 45.7) 4 2008-2012
*
*
Owyhee County 6,10 31.5 (19.0, 49.3) 4 2008-2012
*
*
Madison County 6,10 31.5 (20.8, 45.4) 6 2008-2012
*
*
Latah County 6,10 31.8 (23.5, 42.0) 10 2008-2012
*
*
Minidoka County 6,10 32.9 (23.3, 45.3) 8 2008-2012
*
*
Nez Perce County 6,10 33.1 (26.4, 41.1) 18 2008-2012 stable stable trend -4.9 (-25.5, 21.4)
Washington County 6,10 33.8 (21.6, 51.4) 5 2008-2012
*
*
Jefferson County 6,10 35.1 (24.6, 48.4) 8 2008-2012
*
*
Ada County 6,10 36.9 (34.1, 39.8) 136 2008-2012 stable stable trend -6.4 (-18.0, 6.8)
Payette County 6,10 37.1 (27.2, 49.6) 9 2008-2012
*
*
Bannock County 6,10 37.3 (31.5, 44.0) 30 2008-2012 stable stable trend -0.8 (-20.6, 23.9)
Gooding County 6,10 37.4 (25.6, 53.0) 7 2008-2012
*
*
Bonneville County 6,10 37.6 (32.3, 43.6) 36 2008-2012 stable stable trend -0.8 (-7.6, 6.5)
Canyon County 6,10 38.1 (34.0, 42.5) 65 2008-2012 stable stable trend 4.3 (-7.0, 16.9)
Franklin County 6,10 38.1 (24.6, 56.5) 5 2008-2012
*
*
Fremont County 6,10 39.0 (25.8, 56.9) 6 2008-2012
*
*
Kootenai County 6,10 40.4 (36.1, 45.1) 66 2008-2012 stable stable trend -5.3 (-16.3, 7.1)
Gem County 6,10 41.3 (30.4, 55.3) 10 2008-2012
*
*
Clearwater County 6,10 41.9 (27.1, 63.4) 6 2008-2012
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*
Idaho County 6,10 42.8 (31.3, 57.7) 10 2008-2012
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*
Boise County 6,10 44.0 (23.9, 74.9) 4 2008-2012
*
*
Bingham County 6,10 44.2 (35.7, 54.1) 19 2008-2012 stable stable trend 10.7 (-1.6, 24.4)
Bonner County 6,10 44.5 (36.7, 53.6) 25 2008-2012 stable stable trend -12.0 (-31.4, 12.9)
Twin Falls County 6,10 44.5 (38.4, 51.4) 38 2008-2012 stable stable trend -1.7 (-18.0, 17.9)
Bear Lake County 6,10 44.7 (25.8, 73.1) 4 2008-2012
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*
Shoshone County 6,10 46.7 (34.0, 63.6) 9 2008-2012
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*
Elmore County 6,10 47.0 (35.2, 61.4) 11 2008-2012
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*
Lemhi County 6,10 49.2 (32.8, 72.8) 6 2008-2012
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*
Jerome County 6,10 50.2 (37.2, 66.3) 10 2008-2012
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*
Caribou County 6,10 51.1 (31.1, 79.6) 4 2008-2012
*
*
Benewah County 6,10 51.3 (35.1, 73.3) 7 2008-2012
*
*
Adams County 6,10
*
3 or fewer
2008-2012
*
*
Butte County 6,10
*
3 or fewer
2008-2012
*
*
Camas County 6,10
*
3 or fewer
2008-2012
*
*
Clark County 6,10
*
3 or fewer
2008-2012
*
*
Custer County 6,10
*
3 or fewer
2008-2012
*
*
Lewis County 6,10
*
3 or fewer
2008-2012
*
*
Lincoln County 6,10
*
3 or fewer
2008-2012
*
*
Oneida County 6,10
*
3 or fewer
2008-2012
*
*
Power County 6,10
*
3 or fewer
2008-2012
*
*
Teton County 6,10
*
3 or fewer
2008-2012
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 09/05/2015 6:16 am.
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 1969-2013 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.
§ The total count for the US (SEER+NPCR) may differ from the summation of the individual states reported in this table. The total uses data from the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) January 2015 data submission for the following states: California, Kentucky, Louisiana, and New Jersey but data for those states when shown individually are sourced from the SEER November 2014 submission.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 cases were reported in a specific area-sex-race category.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission and SEER November 2014 submission.
6 Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2014 data submission. State rates include rates from metropolitan areas funded by SEER.
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 1969-2013 US Population Data File is used with NPCR November 2014 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.

Suppression is used to avoid misinterpretation when rates are unstable.

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