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Rate/Trend Comparison by Cancer Table

Data Options
Death Rate/Trend Comparison by Cancer, 2015-2019

Colorado Counties versus United States

All Cancer Sites

All Races, Female
  Above US Rate Similar to US Rate Below US Rate
Rising
Trend		 Priority 1: rising and above

Priority 2: rising and similar

Priority 3: rising and below

Stable
Trend		 Priority 4: stable and above

Priority 6: stable and similar

Alamosa County
Baca County
Bent County
Chaffee County
Conejos County
Delta County
Huerfano County
Las Animas County
Lincoln County
Logan County
Moffat County
Montrose County
Morgan County
Otero County
Phillips County
Prowers County
Saguache County
Washington County
Yuma County		 Priority 7: stable and below

Broomfield County 8
Grand County
Falling
Trend		 Priority 5: falling and above

Priority 8: falling and similar

Adams County 8
Clear Creek County
Denver County
El Paso County
Fremont County
Garfield County
Mesa County
Pueblo County
Teller County		 Priority 9: falling and below

Arapahoe County
Boulder County 8
Douglas County
Eagle County
Elbert County
Gunnison County
Jefferson County 8
La Plata County
Larimer County
Montezuma County
Park County
Rio Grande County
Routt County
Weld County 8
Notes:
Created by statecancerprofiles.cancer.gov on 05/16/2022 4:53 am.

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

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 1969-2018 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).
8 Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected geographic areas.


Data for the following has been suppressed to ensure confidentiality and stability of rate and trend estimates:
Cheyenne County, Costilla County, Dolores County, Hinsdale County, Jackson County, Kiowa County, Lake County, Mineral County, Ouray County, San Juan County, San Miguel County, Sedgwick County

Trend for the following could not be reliably determined due to small number of deaths per year:
Archuleta County, Crowley County, Custer County, Gilpin County, Kit Carson County, Pitkin County, Rio Blanco County, Summit 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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