Death Rate/Trend Comparison by Cancer, death years through 2009 Missouri Counties versus United States
All Cancer Sites All Races, Both Sexes
Above US Rate
Similar to US Rate
Below US Rate
Priority 1: rising and above
Carter County Cedar County Crawford County Dunklin County Henry County Iron County Lewis County Mississippi County New Madrid County Ozark County Pemiscot County Ripley County Shelby County Stoddard County Washington County Wayne County
Priority 2: rising and similar
Chariton County Clinton County Dade County Douglas County Johnson County Knox County Reynolds County Scotland County Shannon County
Priority 3: rising and below
Priority 4: stable and above
Audrain County Bates County Benton County Bollinger County Butler County Caldwell County Dallas County Dent County Gasconade County Grundy County Hickory County Madison County Marion County McDonald County Miller County Montgomery County Morgan County Randolph County Saline County Taney County Wright County
Priority 6: stable and similar
Adair County Andrew County Atchison County Barry County Boone County Buchanan County Callaway County Cape Girardeau County Carroll County Cass County Christian County Clark County Cooper County Daviess County DeKalb County Franklin County Gentry County Harrison County Holt County Howard County Laclede County Lafayette County Lincoln County Linn County Livingston County Macon County Maries County Mercer County Moniteau County Monroe County Newton County Oregon County Osage County Perry County Pettis County Phelps County Pike County Polk County Pulaski County Putnam County Ralls County Ray County Schuyler County Scott County St. Clair County Ste. Genevieve County Stone County Sullivan County Texas County Vernon County Warren County Worth County
Priority 7: stable and below
Priority 5: falling and above
Howell County Jefferson County St. Francois County St. Louis City
Priority 8: falling and similar
Missouri Camden County Clay County Cole County Greene County Jackson County Jasper County Lawrence County Nodaway County Platte County St. Charles County St. Louis County Webster County
Priority 9: falling and below
Created by statecancerprofiles.cancer.gov on 06/19/2013 7:35 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 > 1.10 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 Average Annual Percent Change (AAPC) based on the APCs calculated by Joinpoint Regression Program. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected racial groups or counties. 3 Rate ratio is the county rate divided by the US rate.
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 2010 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 populations included with the data release have been adjusted for the population shifts due to hurricanes Katrina and Rita for 62 counties and parishes in Alabama, Mississippi, Louisiana, and Texas. The 1969-2009 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.