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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2019-2023

Alabama Counties versus United States

Colon & Rectum

All Races, Both Sexes

Sorted by priority index

Counties
 sort alphabetically by name ascending
Priority Index1
1=highest
9=lowest

 sort by priority index ascending
Recent Trend2
County Death
Rate
Compared
to
US Rate
Average Annual Count
 sort by count descending
Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
Rate
Ratio3
County
to
US
 sort by rate descending
Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
 sort by trend descending
United States - falling - 52,648 12.9 (12.8, 12.9) - -0.8 (-1.5, -0.4)
Alabama - falling - 922 14.5 (14.1, 14.9) - -1.5 (-1.8, -1.2)
Shelby County 9 falling lower 27 9.7 (8.1, 11.6) 0.8 -2.4 (-3.8, -0.7)
Baldwin County 8 falling similar 38 11.3 (9.7, 13.1) 0.9 -1.6 (-3.0, -0.2)
Chilton County 8 falling similar 7 12.6 (8.7, 17.7) 1.0 -3.7 (-7.4, -1.6)
Jefferson County 8 falling similar 110 13.6 (12.5, 14.8) 1.1 -2.3 (-3.1, -1.5)
Lauderdale County 8 falling similar 18 13.9 (11.0, 17.4) 1.1 -1.3 (-2.7, 0.0)
Limestone County 8 falling similar 14 10.6 (8.2, 13.5) 0.8 -2.6 (-4.1, -1.0)
Madison County 8 falling similar 59 12.8 (11.3, 14.4) 1.0 -1.7 (-2.5, -1.0)
Morgan County 8 falling similar 24 15.3 (12.6, 18.4) 1.2 -1.5 (-2.9, -0.1)
St. Clair County 8 falling similar 14 12.2 (9.5, 15.5) 0.9 -2.8 (-4.7, -0.9)
Tuscaloosa County 8 falling similar 34 14.4 (12.3, 16.8) 1.1 -2.5 (-4.0, -1.1)
Winston County 8 falling similar 4 11.5 (7.1, 18.1) 0.9 -5.8 (-24.8, -1.6)
Autauga County 6 stable similar 11 15.7 (11.8, 20.5) 1.2 -1.1 (-3.1, 1.1)
Blount County 6 stable similar 12 14.6 (11.1, 19.0) 1.1 -0.9 (-2.8, 1.1)
Butler County 6 stable similar 4 13.8 (8.5, 21.8) 1.1 -0.9 (-3.7, 1.8)
Chambers County 6 stable similar 8 16.5 (11.6, 23.0) 1.3 0.6 (-2.3, 3.7)
Cherokee County 6 stable similar 6 15.7 (10.3, 23.3) 1.2 -0.2 (-3.2, 2.9)
Cleburne County 6 stable similar 4 19.9 (12.3, 31.0) 1.5 -0.3 (-2.7, 2.4)
Coffee County 6 stable similar 9 13.5 (9.7, 18.2) 1.0 3.2 (-0.7, 12.4)
Colbert County 6 stable similar 13 16.3 (12.6, 21.0) 1.3 -1.7 (-4.9, 1.3)
Cullman County 6 stable similar 13 10.7 (8.1, 13.8) 0.8 -1.7 (-3.4, 0.0)
Dale County 6 stable similar 8 11.8 (8.3, 16.5) 0.9 -2.1 (-4.3, 0.1)
DeKalb County 6 stable similar 13 13.9 (10.6, 17.8) 1.1 -1.9 (-15.6, 0.9)
Elmore County 6 stable similar 17 15.6 (12.3, 19.4) 1.2 -1.1 (-2.8, 0.8)
Fayette County 6 stable similar 3 15.8 (8.9, 26.2) 1.2 -1.7 (-6.5, 2.6)
Franklin County 6 stable similar 6 15.4 (10.4, 22.0) 1.2 -0.8 (-3.5, 2.0)
Houston County 6 stable similar 20 14.5 (11.7, 17.8) 1.1 -0.4 (-1.5, 0.9)
Jackson County 6 stable similar 13 16.2 (12.3, 21.0) 1.3 -1.3 (-3.1, 0.3)
Lawrence County 6 stable similar 8 18.5 (13.1, 25.6) 1.4 0.8 (-2.6, 4.5)
Lee County 6 stable similar 23 13.5 (11.0, 16.3) 1.0 -1.4 (-2.8, 0.0)
Macon County 6 stable similar 5 16.9 (10.4, 26.5) 1.3 -2.4 (-5.6, 0.4)
Marengo County 6 stable similar 4 12.7 (7.6, 20.5) 1.0 -1.2 (-5.8, 3.1)
Marion County 6 stable similar 8 18.0 (12.9, 24.9) 1.4 0.9 (-1.5, 3.5)
Marshall County 6 stable similar 16 14.1 (11.1, 17.6) 1.1 -0.7 (-2.2, 0.8)
Monroe County 6 stable similar 6 20.7 (13.4, 30.8) 1.6 -0.8 (-4.0, 2.3)
Pickens County 6 stable similar 5 18.4 (11.8, 27.9) 1.4 -0.2 (-3.0, 2.6)
Pike County 6 stable similar 6 18.1 (12.2, 25.9) 1.4 -1.5 (-4.4, 1.1)
Randolph County 6 stable similar 6 15.8 (10.4, 23.6) 1.2 -1.1 (-3.8, 1.5)
Sumter County 6 stable similar 4 23.4 (13.4, 38.6) 1.8 0.9 (-3.9, 5.8)
Tallapoosa County 6 stable similar 8 13.2 (9.2, 18.5) 1.0 -1.4 (-3.4, 0.5)
Mobile County 5 falling higher 81 16.1 (14.5, 17.8) 1.2 -1.5 (-2.2, -0.9)
Barbour County 4 stable higher 7 20.4 (14.0, 28.8) 1.6 -0.7 (-3.5, 2.0)
Calhoun County 4 stable higher 25 17.2 (14.3, 20.7) 1.3 -0.9 (-2.3, 0.5)
Clarke County 4 stable higher 10 27.3 (20.0, 36.8) 2.1 0.2 (-2.2, 2.8)
Covington County 4 stable higher 10 18.0 (13.3, 24.0) 1.4 -0.3 (-1.7, 1.3)
Dallas County 4 stable higher 10 20.1 (14.6, 27.2) 1.6 -2.5 (-5.8, 0.3)
Escambia County 4 stable higher 9 18.9 (13.7, 25.5) 1.5 0.0 (-2.6, 2.6)
Etowah County 4 stable higher 24 17.2 (14.2, 20.7) 1.3 0.1 (-1.4, 1.6)
Montgomery County 4 stable higher 44 16.8 (14.6, 19.3) 1.3 -1.0 (-2.2, 0.2)
Russell County 4 stable higher 14 20.0 (15.5, 25.6) 1.6 -2.1 (-4.4, 0.1)
Talladega County 4 stable higher 19 17.2 (13.8, 21.2) 1.3 -1.1 (-2.8, 0.5)
Walker County 4 stable higher 16 17.5 (13.7, 22.0) 1.4 -0.3 (-2.2, 1.6)
Bullock County
**
** higher 3 25.6 (14.6, 42.2) 2.0
**
Clay County
**
** similar 4 18.2 (11.2, 28.7) 1.4
**
Conecuh County
**
** similar 4 21.8 (12.4, 36.3) 1.7
**
Crenshaw County
**
** similar 4 18.1 (10.6, 29.6) 1.4
**
Geneva County
**
** lower 3 8.6 (4.9, 14.3) 0.7
**
Washington County
**
** higher 5 21.8 (13.9, 33.2) 1.7
**
Bibb County
**
**
*
3 or fewer
*
*
**
Choctaw County
**
**
*
3 or fewer
*
*
**
Coosa County
**
**
*
3 or fewer
*
*
**
Greene County
**
**
*
3 or fewer
*
*
**
Hale County
**
**
*
3 or fewer
*
*
**
Henry County
**
**
*
3 or fewer
*
*
**
Lamar County
**
**
*
3 or fewer
*
*
**
Lowndes County
**
**
*
3 or fewer
*
*
**
Perry County
**
**
*
3 or fewer
*
*
**
Wilcox County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/14/2026 7:30 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

* Data has been suppressed to ensure confidentiality and stability of rate and trend estimates.
** Data are too sparse to provide stable estimates of annual rates needed to calculate trend.
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. 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+). The Healthy People 2030 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:
Bibb County, Choctaw County, Coosa County, Greene County, Hale County, Henry County, Lamar County, Lowndes County, Perry County, Wilcox County

Trend for the following could not be reliably determined due to small number of deaths per year:
Bullock County, Clay County, Conecuh County, Crenshaw County, Geneva County, Washington 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 do not include Puerto Rico.

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