Rate/Trend Comparison by Cancer Table
| Above US Rate | Similar to US Rate | Below US Rate | |
|---|---|---|---|
| Rising Trend |
Priority 1: rising  and above |
Priority 2: rising and similar  Garland County Pulaski County Saline County Sebastian County Union County |
Priority 3: rising and below  |
| Stable Trend |
Priority 4: stable  and above |
Priority 6: stable and similar Benton County Crawford County White County |
Priority 7: stable and below Washington County |
| Falling Trend |
Priority 5: falling and above |
Priority 8: falling and similar |
Priority 9: falling and below |
| Notes: Created by statecancerprofiles.cancer.gov on 07/15/2025 8:07 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 > 1.10Similar when unable to conclude above or below with confidence.Below when 95% confident the rate is below and Rate Ratio3 < 0.901 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 5.3.0. 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 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: Arkansas County, Ashley County, Bradley County, Calhoun County, Chicot County, Clark County, Clay County, Cleburne County, Cleveland County, Columbia County, Conway County, Cross County, Dallas County, Desha County, Drew County, Franklin County, Fulton County, Grant County, Hempstead County, Howard County, Izard County, Jackson County, Lafayette County, Lawrence County, Lee County, Lincoln County, Little River County, Logan County, Madison County, Monroe County, Montgomery County, Nevada County, Newton County, Perry County, Phillips County, Pike County, Prairie County, Scott County, Searcy County, Sevier County, Sharp County, St. Francis County, Stone County, Van Buren County, Woodruff County, Yell County Trend for the following could not be reliably determined due to small number of deaths per year: Baxter County, Boone County, Carroll County, Craighead County, Crittenden County, Faulkner County, Greene County, Hot Spring County, Independence County, Jefferson County, Johnson County, Lonoke County, Marion County, Miller County, Mississippi County, Ouachita County, Poinsett County, Polk County, Pope County, Randolph 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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