Incidence Rate Report for Arkansas by County
All Races (includes Hispanic), Female, Cervix, All Ages Sorted by Rate

Explanation of Column Headers
Incidence Rate (95% Confidence Interval)  The incidence rate is based upon 100,000 people and is an annual rate (or average annual rate) based on the time period indicated. Rates are ageadjusted by 5year age groups to the 2000 U.S. standard million population.
Other Notes
Larger confidence intervals indicate less stability of the data. This is often due to low counts that are not quite low enough to be suppressed. Data is currently being suppressed if there are fewer than 16 counts for the time period.
Line by Line Interpretation of the Report

Arkansas^{6}
Rate  ¶¶
Average Annual Count  ¶¶
Rate Period  ¶¶

US (SEER+NPCR)^{1}
Rate  The incidence rate is 7.8 with a 95% confidence interval from 7.7 to 7.9.
Average Annual Count  The count is 12,390 §.
Rate Period  The period for the rate is 20062010.

Arkansas County^{6}
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Ashley County^{6}
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Average Annual Count  ¶¶
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Baxter County^{6}
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Average Annual Count  ¶¶
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Benton County^{6}
Rate  ¶¶
Average Annual Count  ¶¶
Rate Period  ¶¶

Boone County^{6}
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Bradley County^{6}
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Calhoun County^{6}
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Carroll County^{6}
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Chicot County^{6}
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Clark County^{6}
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Clay County^{6}
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Cleburne County^{6}
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Cleveland County^{6}
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Columbia County^{6}
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Conway County^{6}
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Craighead County^{6}
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Crawford County^{6}
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Crittenden County^{6}
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Cross County^{6}
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Dallas County^{6}
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Desha County^{6}
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Drew County^{6}
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Faulkner County^{6}
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Franklin County^{6}
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Fulton County^{6}
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Garland County^{6}
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Grant County^{6}
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Greene County^{6}
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Hempstead County^{6}
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Hot Spring County^{6}
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Howard County^{6}
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Independence County^{6}
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Izard County^{6}
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Jackson County^{6}
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Jefferson County^{6}
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Johnson County^{6}
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Lafayette County^{6}
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Lawrence County^{6}
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Lee County^{6}
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Lincoln County^{6}
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Little River County^{6}
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Logan County^{6}
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Lonoke County^{6}
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Madison County^{6}
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Marion County^{6}
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Miller County^{6}
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Mississippi County^{6}
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Monroe County^{6}
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Montgomery County^{6}
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Nevada County^{6}
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Newton County^{6}
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Ouachita County^{6}
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Perry County^{6}
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Phillips County^{6}
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Pike County^{6}
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Poinsett County^{6}
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Polk County^{6}
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Pope County^{6}
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Prairie County^{6}
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Pulaski County^{6}
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Randolph County^{6}
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Saline County^{6}
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Scott County^{6}
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Searcy County^{6}
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Sebastian County^{6}
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Sevier County^{6}
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Sharp County^{6}
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St. Francis County^{6}
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Stone County^{6}
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Union County^{6}
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Van Buren County^{6}
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Washington County^{6}
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White County^{6}
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Woodruff County^{6}
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Yell County^{6}
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Notes:
Created by statecancerprofiles.cancer.gov on 07/24/2014 10:38 am. State Cancer Registries may provide more current or more local data. † Incidence rates (cases per 100,000 population per year) are ageadjusted to the 2000 US standard population (19 age groups: <1, 14, 59, ... , 8084, 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 19692011 US Population Data File is used for SEER and NPCR incidence rates. § 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 (NPCRCSS) January 2013 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 2012 submission. ¶¶ Data not available for Arkansas, Minnesota, Ohio, Virginia, or Washington.
^{1} Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCRCSS) January 2013 data submission and SEER November 2012 submission. ^{6} Source: State Cancer Registry and the CDC's National Program of Cancer Registries Cancer Surveillance System (NPCRCSS) January 2013 data submission. State rates include rates from metropolitan areas funded by SEER.
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.
Data not available for this combination of geography, cancer site, age, and race/ethnicity. Suppression is used to avoid misinterpretation when rates are unstable.
