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Incidence Rates Table

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Incidence Rate Report for by County

All Cancer Sites, 2009-2013

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

Sorted by Count
County
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Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
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Average Annual Count
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Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
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Colorado 6,10 412.8 (410.2, 415.3) 21,350 falling falling trend -2.8 (-3.4, -2.2)
US (SEER+NPCR) 1,10 448.4 (448.1, 448.7) 1,540,559 falling falling trend -1.9 (-2.6, -1.2)
Jefferson County 6,10 425.2 (417.7, 432.7) 2,640 stable stable trend -2.0 (-5.9, 2.1)
El Paso County 6,10 443.5 (435.8, 451.4) 2,638 falling falling trend -3.1 (-4.7, -1.5)
Denver County 6,10 432.8 (425.1, 440.7) 2,483 falling falling trend -1.9 (-3.5, -0.2)
Arapahoe County 6,10 419.9 (412.2, 427.8) 2,398 falling falling trend -3.5 (-5.1, -1.8)
Adams County 6,10 412.3 (402.9, 421.9) 1,549 stable stable trend -2.4 (-4.9, 0.1)
Larimer County 6,10 386.8 (377.0, 396.8) 1,246 stable stable trend -0.8 (-2.9, 1.4)
Boulder County 6,10 399.4 (388.9, 410.2) 1,169 stable stable trend -2.8 (-6.4, 0.8)
Douglas County 6,10 418.3 (405.9, 430.9) 1,034 stable stable trend -4.1 (-8.2, 0.2)
Weld County 6,10 385.1 (373.6, 396.7) 909 stable stable trend -1.7 (-7.0, 3.9)
Pueblo County 6,10 429.4 (416.1, 443.0) 830 falling falling trend -3.0 (-5.6, -0.4)
Mesa County 6,10 398.6 (385.3, 412.3) 708 falling falling trend -4.8 (-7.2, -2.2)
Fremont County 6,10 455.1 (431.5, 479.7) 292 stable stable trend -1.1 (-7.6, 5.9)
La Plata County 6,10 403.5 (379.7, 428.5) 236 stable stable trend -4.0 (-8.3, 0.5)
Broomfield County 6,10 403.8 (379.8, 428.8) 223 stable stable trend 0.1 (-6.3, 7.0)
Montrose County 6,10 367.4 (344.3, 391.7) 204 stable stable trend -3.5 (-7.8, 1.0)
Garfield County 6,10 382.1 (357.1, 408.3) 192 stable stable trend -0.3 (-11.6, 12.4)
Delta County 6,10 373.0 (346.7, 401.0) 169 stable stable trend -8.2 (-16.8, 1.4)
Montezuma County 6,10 415.2 (384.1, 448.3) 143 stable stable trend -5.0 (-14.5, 5.7)
Eagle County 6,10 348.7 (317.4, 382.1) 141 stable stable trend 0.8 (-3.9, 5.8)
Teller County 6,10 435.1 (397.1, 475.9) 127 stable stable trend -2.6 (-19.4, 17.7)
Morgan County 6,10 384.8 (354.3, 417.2) 121 falling falling trend -8.6 (-15.6, -1.0)
Chaffee County 6,10 386.6 (352.7, 423.3) 106 stable stable trend -1.5 (-8.4, 5.9)
Logan County 6,10 383.6 (350.4, 419.2) 102 stable stable trend -6.1 (-15.5, 4.3)
Elbert County 6,10 392.5 (355.1, 432.9) 102 stable stable trend -1.7 (-12.9, 11.1)
Otero County 6,10 402.5 (367.0, 440.9) 101 stable stable trend -3.2 (-14.8, 10.0)
Routt County 6,10 368.5 (329.8, 410.4) 85 stable stable trend 2.8 (-3.0, 8.9)
Las Animas County 6,10 362.5 (325.9, 402.5) 78 stable stable trend -5.6 (-12.6, 1.9)
Park County 6,10 390.1 (344.3, 440.5) 77 falling falling trend -8.0 (-14.4, -1.1)
Summit County 6,10 257.0 (224.5, 292.9) 67 stable stable trend 2.9 (-11.1, 19.0)
Archuleta County 6,10 378.7 (335.2, 426.9) 66 stable stable trend -4.7 (-18.8, 11.7)
Pitkin County 6,10 306.8 (271.1, 346.1) 64 stable stable trend 0.6 (-9.5, 11.8)
Alamosa County 6,10 401.1 (356.4, 449.8) 62 stable stable trend -8.0 (-23.3, 10.2)
Prowers County 6,10 388.0 (342.8, 437.7) 56 stable stable trend 0.7 (-4.4, 6.1)
Rio Grande County 6,10 357.9 (315.6, 404.5) 56 stable stable trend -5.7 (-21.0, 12.6)
Yuma County 6,10 436.0 (385.1, 492.2) 55 stable stable trend -12.2 (-27.7, 6.5)
Moffat County 6,10 388.9 (341.7, 440.8) 53 stable stable trend 1.8 (-13.3, 19.7)
Huerfano County 6,10 447.0 (387.3, 514.9) 51 stable stable trend -10.1 (-23.8, 6.1)
Clear Creek County 6,10 402.1 (348.4, 462.5) 50 falling falling trend -7.6 (-10.9, -4.2)
Grand County 6,10 301.5 (260.5, 347.3) 47 stable stable trend 0.6 (-8.4, 10.5)
Gunnison County 6,10 299.4 (257.8, 345.8) 43 stable stable trend -4.1 (-11.5, 4.0)
Kit Carson County 6,10 352.8 (302.5, 409.5) 36 stable stable trend -6.7 (-25.2, 16.3)
Custer County 6,10 445.3 (372.1, 532.7) 34 stable stable trend -1.7 (-6.5, 3.3)
Conejos County 6,10 330.0 (280.8, 385.8) 34 stable stable trend -13.1 (-26.0, 2.1)
Rio Blanco County 6,10 424.9 (358.9, 499.6) 31 stable stable trend -0.2 (-19.1, 23.1)
Phillips County 6,10 399.1 (329.6, 480.4) 26 stable stable trend -7.4 (-26.4, 16.5)
Washington County 6,10 375.7 (309.8, 452.7) 25 stable stable trend 0.1 (-21.9, 28.2)
Lincoln County 6,10 358.9 (297.8, 429.6) 25 stable stable trend -6.9 (-26.5, 17.8)
Saguache County 6,10 328.6 (269.5, 397.4) 25 stable stable trend -8.3 (-19.1, 4.1)
Bent County 6,10 325.3 (269.8, 389.8) 25 stable stable trend 2.2 (-9.0, 14.9)
Gilpin County 6,10 379.8 (301.5, 472.8) 24 rising rising trend 7.5 (2.0, 13.2)
Lake County 6,10 362.7 (296.5, 438.8) 24 stable stable trend 2.8 (-16.5, 26.5)
San Miguel County 6,10 323.0 (254.7, 403.7) 24 stable stable trend -10.3 (-26.3, 9.2)
Baca County 6,10 379.2 (307.5, 464.7) 23 stable stable trend -6.7 (-30.0, 24.4)
Ouray County 6,10 330.0 (264.0, 410.1) 22 stable stable trend 5.5 (-11.7, 26.1)
Crowley County 6,10 333.6 (269.1, 409.8) 20 stable stable trend -14.0 (-42.9, 29.7)
Costilla County 6,10 308.9 (244.2, 388.5) 18 stable stable trend 6.1 (-18.9, 38.9)
Sedgwick County 6,10 351.8 (268.8, 456.7) 14 stable stable trend 3.2 (-19.0, 31.3)
Cheyenne County 6,10 399.9 (296.2, 531.8) 11 stable stable trend 9.5 (-27.4, 65.1)
Kiowa County 6,10 414.6 (286.2, 584.9) 8 stable stable trend 8.8 (-24.3, 56.3)
Dolores County 6,10 236.6 (159.1, 342.1) 7 stable stable trend 21.8 (-25.4, 99.1)
Jackson County 6,10 261.1 (170.5, 393.0) 6 stable stable trend -5.4 (-33.8, 35.2)
Hinsdale County 6,10 400.4 (240.7, 637.7) 5 stable stable trend -20.3 (-56.9, 47.3)
Mineral County 6,10 281.5 (170.9, 480.0) 4 stable stable trend 4.3 (-40.7, 83.5)
San Juan County 6,10 395.3 (202.7, 701.4) 3
*
*
Notes:
Created by statecancerprofiles.cancer.gov on 08/30/2016 12:58 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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