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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

Minnesota 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 descending 		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 falling trend - 52,152 13.1 (13.1, 13.2) - -1.9 (-2.1, -1.8)
Minnesota - falling falling trend - 803 11.8 (11.4, 12.2) - -2.5 (-2.6, -2.3)
Chippewa County 4 stable stable trend higher 5 25.7 (16.3, 39.6) 2.0 -0.3 (-2.2, 1.6)
Faribault County 4 stable stable trend higher 6 26.6 (17.2, 40.1) 2.0 0.2 (-1.8, 2.2)
Polk County 4 stable stable trend higher 9 20.5 (14.7, 28.1) 1.6 19.7 (-5.3, 51.4)
Hubbard County 6 stable stable trend similar 6 16.9 (10.8, 25.7) 1.3 -1.3 (-3.2, 0.6)
Koochiching County 6 stable stable trend similar 4 15.0 (8.8, 25.6) 1.1 -1.8 (-3.8, 0.2)
Nobles County 6 stable stable trend similar 5 17.2 (11.0, 26.0) 1.3 0.1 (-1.8, 2.0)
Wabasha County 6 stable stable trend similar 6 16.0 (10.5, 23.7) 1.2 -1.3 (-3.0, 0.5)
Wadena County 6 stable stable trend similar 4 19.2 (11.2, 31.2) 1.5 -0.8 (-2.6, 1.0)
Aitkin County 8 falling falling trend similar 4 13.1 (6.9, 23.6) 1.0 -3.0 (-4.6, -1.4)
Anoka County 8 falling falling trend similar 46 12.0 (10.4, 13.7) 0.9 -2.1 (-3.1, -1.1)
Becker County 8 falling falling trend similar 6 11.5 (7.6, 17.0) 0.9 -2.0 (-3.6, -0.4)
Beltrami County 8 falling falling trend similar 7 12.9 (8.8, 18.1) 1.0 -3.2 (-4.6, -1.8)
Benton County 8 falling falling trend similar 6 13.2 (8.9, 18.9) 1.0 -2.5 (-4.2, -0.8)
Blue Earth County 8 falling falling trend similar 8 11.1 (7.8, 15.2) 0.8 -2.3 (-3.7, -0.8)
Brown County 8 falling falling trend similar 7 16.0 (10.8, 23.2) 1.2 -2.2 (-3.7, -0.7)
Carlton County 8 falling falling trend similar 7 14.1 (9.7, 20.1) 1.1 -1.6 (-3.1, -0.1)
Carver County 8 falling falling trend similar 12 11.9 (9.0, 15.4) 0.9 -3.0 (-4.5, -1.6)
Cass County 8 falling falling trend similar 6 12.9 (8.3, 19.4) 1.0 -2.6 (-4.1, -1.1)
Clay County 8 falling falling trend similar 10 14.8 (10.9, 19.7) 1.1 -1.8 (-3.1, -0.5)
Crow Wing County 8 falling falling trend similar 13 12.6 (9.6, 16.4) 1.0 -2.5 (-3.7, -1.4)
Douglas County 8 falling falling trend similar 9 15.0 (10.8, 20.7) 1.1 -1.8 (-3.1, -0.5)
Fillmore County 8 falling falling trend similar 5 14.8 (9.0, 23.2) 1.1 -2.2 (-3.7, -0.6)
Freeborn County 8 falling falling trend similar 8 13.7 (9.5, 19.6) 1.0 -2.2 (-3.5, -0.9)
Goodhue County 8 falling falling trend similar 10 13.6 (10.0, 18.3) 1.0 -2.7 (-4.2, -1.2)
Itasca County 8 falling falling trend similar 9 12.0 (8.7, 16.5) 0.9 -2.9 (-4.3, -1.4)
Kandiyohi County 8 falling falling trend similar 9 14.1 (10.1, 19.3) 1.1 -2.1 (-3.6, -0.7)
Le Sueur County 8 falling falling trend similar 6 15.0 (9.9, 22.0) 1.1 -1.7 (-3.2, -0.2)
Martin County 8 falling falling trend similar 7 16.0 (10.9, 23.6) 1.2 -2.1 (-3.8, -0.4)
McLeod County 8 falling falling trend similar 6 10.8 (7.1, 16.0) 0.8 -2.6 (-4.0, -1.2)
Meeker County 8 falling falling trend similar 5 13.9 (8.9, 21.3) 1.1 -2.7 (-4.4, -1.0)
Mille Lacs County 8 falling falling trend similar 4 13.9 (8.3, 21.8) 1.1 -2.8 (-4.4, -1.0)
Morrison County 8 falling falling trend similar 6 11.1 (7.3, 16.4) 0.8 -3.1 (-4.9, -1.3)
Nicollet County 8 falling falling trend similar 4 10.0 (6.2, 15.4) 0.8 -3.3 (-4.9, -1.7)
Otter Tail County 8 falling falling trend similar 14 13.9 (10.6, 18.0) 1.1 -2.0 (-3.2, -0.8)
Renville County 8 falling falling trend similar 4 15.0 (8.8, 24.7) 1.1 -2.0 (-3.7, -0.3)
Rice County 8 falling falling trend similar 8 10.3 (7.4, 14.1) 0.8 -2.6 (-3.7, -1.5)
Sherburne County 8 falling falling trend similar 10 11.3 (8.3, 14.9) 0.9 -3.4 (-4.5, -2.2)
Stearns County 8 falling falling trend similar 23 12.3 (10.1, 14.8) 0.9 -1.7 (-2.6, -0.7)
Steele County 8 falling falling trend similar 5 9.9 (6.3, 15.0) 0.8 -3.2 (-4.5, -1.8)
Winona County 8 falling falling trend similar 8 12.2 (8.6, 17.0) 0.9 -2.4 (-3.5, -1.4)
Wright County 8 falling falling trend similar 15 11.2 (8.8, 14.1) 0.9 -2.9 (-3.9, -1.9)
Dakota County 9 falling falling trend lower 53 11.2 (9.8, 12.6) 0.9 -2.3 (-2.9, -1.8)
Hennepin County 9 falling falling trend lower 144 10.4 (9.6, 11.2) 0.8 -2.6 (-2.9, -2.2)
Mower County 9 falling falling trend lower 6 8.9 (5.8, 13.2) 0.7 -3.9 (-5.5, -2.3)
Olmsted County 9 falling falling trend lower 16 8.4 (6.6, 10.5) 0.6 -3.0 (-4.0, -1.9)
Ramsey County 9 falling falling trend lower 69 11.2 (10.0, 12.5) 0.9 -2.8 (-3.2, -2.3)
Scott County 9 falling falling trend lower 13 10.1 (7.7, 12.9) 0.8 -3.1 (-4.4, -1.8)
St. Louis County 9 falling falling trend lower 31 10.9 (9.1, 12.8) 0.8 -2.2 (-3.0, -1.5)
Washington County 9 falling falling trend lower 30 10.4 (8.8, 12.3) 0.8 -3.0 (-3.6, -2.4)
Chisago County
**
 		** similar 9 13.9 (10.1, 18.7) 1.1
**
Dodge County
**
 		** similar 3 13.4 (7.6, 22.1) 1.0
**
Isanti County
**
 		** similar 5 10.7 (7.0, 15.9) 0.8
**
Lyon County
**
 		** similar 4 11.7 (6.8, 18.9) 0.9
**
Pine County
**
 		** similar 7 15.7 (11.0, 22.2) 1.2
**
Sibley County
**
 		** higher 6 30.9 (20.4, 45.1) 2.4
**
Waseca County
**
 		** similar 3 14.0 (8.0, 23.0) 1.1
**
Yellow Medicine County
**
 		** similar 3 20.4 (11.3, 35.2) 1.6
**
Big Stone County
**
 		**
*
3 or fewer
*
*
**
Clearwater County
**
 		**
*
3 or fewer
*
*
**
Cook County
**
 		**
*
3 or fewer
*
*
**
Cottonwood County
**
 		**
*
3 or fewer
*
*
**
Grant County
**
 		**
*
3 or fewer
*
*
**
Houston County
**
 		**
*
3 or fewer
*
*
**
Jackson County
**
 		**
*
3 or fewer
*
*
**
Kanabec County
**
 		**
*
3 or fewer
*
*
**
Kittson County
**
 		**
*
3 or fewer
*
*
**
Lac qui Parle County
**
 		**
*
3 or fewer
*
*
**
Lake County
**
 		**
*
3 or fewer
*
*
**
Lake of the Woods County
**
 		**
*
3 or fewer
*
*
**
Lincoln County
**
 		**
*
3 or fewer
*
*
**
Mahnomen County
**
 		**
*
3 or fewer
*
*
**
Marshall County
**
 		**
*
3 or fewer
*
*
**
Murray County
**
 		**
*
3 or fewer
*
*
**
Norman County
**
 		**
*
3 or fewer
*
*
**
Pennington County
**
 		**
*
3 or fewer
*
*
**
Pipestone County
**
 		**
*
3 or fewer
*
*
**
Pope County
**
 		**
*
3 or fewer
*
*
**
Red Lake County
**
 		**
*
3 or fewer
*
*
**
Redwood County
**
 		**
*
3 or fewer
*
*
**
Rock County
**
 		**
*
3 or fewer
*
*
**
Roseau County
**
 		**
*
3 or fewer
*
*
**
Stevens County
**
 		**
*
3 or fewer
*
*
**
Swift County
**
 		**
*
3 or fewer
*
*
**
Todd County
**
 		**
*
3 or fewer
*
*
**
Traverse County
**
 		**
*
3 or fewer
*
*
**
Watonwan County
**
 		**
*
3 or fewer
*
*
**
Wilkin County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/19/2024 2:47 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

* 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 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 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:
Big Stone County, Clearwater County, Cook County, Cottonwood County, Grant County, Houston County, Jackson County, Kanabec County, Kittson County, Lac qui Parle County, Lake County, Lake of the Woods County, Lincoln County, Mahnomen County, Marshall County, Murray County, Norman County, Pennington County, Pipestone County, Pope County, Red Lake County, Redwood County, Rock County, Roseau County, Stevens County, Swift County, Todd County, Traverse County, Watonwan County, Wilkin County

Trend for the following could not be reliably determined due to small number of deaths per year:
Chisago County, Dodge County, Isanti County, Lyon County, Pine County, Sibley County, Waseca County, Yellow Medicine 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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