Data Table for Rate/Trend Comparison by Cancer
Counties |
Priority Index1 1=highest 9=lowest |
Recent Trend2 |
County Death Rate Compared to US Rate |
Average Annual Count |
Age-Adjusted Death Rate deaths per 100,000 (95% Confidence Interval) |
Rate Ratio3 County to US |
Recent 5-Year Trend2 in Death Rates (95% Confidence Interval) |
---|---|---|---|---|---|---|---|
United States | - | falling | - | 283,896 | 128.7 (128.5, 129.0) | - | -1.9 (-2.2, -1.7) |
Minnesota | - | falling | - | 4,694 | 125.0 (123.4, 126.7) | - | -1.4 (-1.5, -1.2) |
Traverse County | 6 | stable | similar | 4 | 99.1 (57.5, 173.9) | 0.8 | -1.5 (-3.3, 0.4) |
Todd County | 9 | falling | lower | 20 | 100.4 (80.6, 124.4) | 0.8 | -1.6 (-2.2, -0.8) |
Carver County | 9 | falling | lower | 57 | 101.7 (90.0, 114.6) | 0.8 | -1.4 (-2.0, -0.7) |
Grant County | 6 | stable | similar | 5 | 104.5 (64.2, 163.8) | 0.8 | 0.2 (-1.3, 1.8) |
Houston County | 9 | falling | lower | 17 | 105.0 (82.7, 132.6) | 0.8 | -1.2 (-2.0, -0.5) |
Marshall County | 6 | stable | similar | 8 | 105.8 (73.8, 149.1) | 0.8 | -1.1 (-2.5, 0.3) |
Dodge County | 6 | stable | similar | 14 | 106.5 (82.4, 135.8) | 0.8 | 0.1 (-1.2, 1.3) |
Stevens County | 6 | stable | similar | 7 | 106.5 (71.1, 154.4) | 0.8 | -0.2 (-1.8, 1.3) |
Olmsted County | 9 | falling | lower | 114 | 107.3 (98.5, 116.7) | 0.8 | -1.6 (-2.0, -1.2) |
Pope County | 8 | falling | similar | 11 | 107.8 (77.3, 148.2) | 0.8 | -1.5 (-2.6, -0.3) |
Murray County | 6 | stable | similar | 9 | 108.4 (78.3, 150.2) | 0.8 | -0.5 (-1.9, 0.9) |
Steele County | 8 | falling | similar | 31 | 111.9 (94.3, 132.1) | 0.9 | -1.3 (-2.0, -0.6) |
Roseau County | 8 | falling | similar | 13 | 112.3 (85.4, 146.1) | 0.9 | -1.7 (-2.4, -1.0) |
Nicollet County | 6 | stable | similar | 26 | 113.1 (94.0, 135.3) | 0.9 | 4.3 (-5.6, 15.3) |
Big Stone County | 8 | falling | similar | 7 | 114.5 (75.8, 173.9) | 0.9 | -2.0 (-3.5, -0.4) |
Brown County | 8 | falling | similar | 26 | 114.8 (94.0, 139.6) | 0.9 | -1.1 (-1.8, -0.4) |
Blue Earth County | 8 | falling | similar | 48 | 115.2 (100.5, 131.6) | 0.9 | -1.3 (-1.9, -0.7) |
Jackson County | 6 | stable | similar | 10 | 115.4 (83.0, 158.5) | 0.9 | -0.5 (-2.0, 1.0) |
Otter Tail County | 8 | falling | similar | 63 | 116.3 (102.9, 131.2) | 0.9 | -0.9 (-1.5, -0.4) |
Carlton County | 6 | stable | similar | 31 | 117.2 (99.1, 138.3) | 0.9 | -0.7 (-1.7, 0.3) |
Cook County | 6 | stable | similar | 6 | 117.3 (75.4, 180.7) | 0.9 | -1.8 (-4.0, 0.5) |
Sherburne County | 8 | falling | similar | 57 | 117.9 (104.3, 132.9) | 0.9 | -1.4 (-2.3, -0.6) |
Yellow Medicine County | 6 | stable | similar | 10 | 117.9 (85.9, 160.3) | 0.9 | -0.3 (-1.7, 1.0) |
Becker County | 6 | stable | similar | 32 | 118.2 (100.0, 139.3) | 0.9 | -0.6 (-1.3, 0.2) |
Freeborn County | 8 | falling | similar | 33 | 119.6 (100.7, 141.5) | 0.9 | -0.7 (-1.3, -0.2) |
Crow Wing County | 8 | falling | similar | 67 | 120.2 (107.1, 134.7) | 0.9 | -1.0 (-1.6, -0.5) |
Wabasha County | 8 | falling | similar | 22 | 120.5 (98.4, 147.0) | 0.9 | -1.1 (-1.9, -0.3) |
Hennepin County | 8 | falling | similar | 934 | 120.7 (117.1, 124.3) | 0.9 | -1.8 (-2.1, -1.5) |
McLeod County | 6 | stable | similar | 33 | 121.3 (102.9, 142.3) | 0.9 | -0.4 (-1.2, 0.3) |
Stearns County | 8 | falling | similar | 121 | 122.3 (112.5, 132.8) | 0.9 | -0.7 (-1.1, -0.4) |
Washington County | 8 | falling | similar | 198 | 122.3 (114.7, 130.4) | 1.0 | -1.2 (-1.6, -0.8) |
Dakota County | 8 | falling | similar | 323 | 123.1 (117.1, 129.4) | 1.0 | -1.3 (-1.6, -1.1) |
Norman County | 6 | stable | similar | 7 | 123.3 (83.1, 179.5) | 1.0 | -1.4 (-3.0, 0.2) |
Rock County | 6 | stable | similar | 10 | 124.7 (90.8, 169.2) | 1.0 | -0.7 (-2.0, 0.6) |
Kanabec County | 8 | falling | similar | 15 | 125.0 (97.6, 158.8) | 1.0 | -1.6 (-2.6, -0.5) |
Fillmore County | 8 | falling | similar | 23 | 126.8 (103.0, 155.3) | 1.0 | -0.8 (-1.6, -0.1) |
Goodhue County | 8 | falling | similar | 49 | 127.1 (111.0, 145.4) | 1.0 | -1.3 (-1.9, -0.7) |
Scott County | 8 | falling | similar | 91 | 127.6 (115.9, 140.1) | 1.0 | -1.3 (-1.9, -0.7) |
Lyon County | 6 | stable | similar | 23 | 127.8 (104.0, 155.8) | 1.0 | 0.2 (-0.7, 1.1) |
Le Sueur County | 8 | falling | similar | 26 | 128.7 (107.0, 153.8) | 1.0 | -0.7 (-1.3, 0.0) |
Wright County | 8 | falling | similar | 95 | 128.7 (117.2, 141.1) | 1.0 | -0.8 (-1.3, -0.2) |
Morrison County | 8 | falling | similar | 34 | 129.2 (109.4, 152.0) | 1.0 | -0.8 (-1.6, -0.1) |
Pipestone County | 6 | stable | similar | 11 | 129.4 (95.7, 173.5) | 1.0 | 0.3 (-1.0, 1.6) |
Isanti County | 6 | stable | similar | 35 | 129.7 (110.9, 151.0) | 1.0 | -0.2 (-1.1, 0.7) |
Anoka County | 8 | falling | similar | 273 | 130.0 (123.1, 137.2) | 1.0 | -1.3 (-1.9, -0.6) |
Benton County | 8 | falling | similar | 34 | 130.3 (110.6, 152.7) | 1.0 | -0.9 (-1.8, -0.1) |
Beltrami County | 8 | falling | similar | 39 | 130.6 (112.3, 151.2) | 1.0 | -1.1 (-1.8, -0.3) |
Pine County | 6 | stable | similar | 31 | 130.7 (110.3, 154.5) | 1.0 | -0.8 (-1.6, 0.0) |
Swift County | 8 | falling | similar | 10 | 130.7 (93.3, 179.8) | 1.0 | -1.8 (-3.0, -0.5) |
Ramsey County | 8 | falling | similar | 456 | 130.9 (125.4, 136.5) | 1.0 | -1.6 (-1.8, -1.3) |
Rice County | 8 | falling | similar | 55 | 131.0 (115.6, 148.2) | 1.0 | -0.6 (-1.1, 0.0) |
Clay County | 6 | stable | similar | 48 | 131.4 (114.7, 149.8) | 1.0 | 0.1 (-0.6, 0.8) |
Nobles County | 6 | stable | similar | 20 | 131.8 (105.6, 162.9) | 1.0 | -0.2 (-1.1, 0.8) |
Cottonwood County | 6 | stable | similar | 14 | 131.9 (101.2, 171.2) | 1.0 | -0.2 (-1.2, 0.8) |
Winona County | 8 | falling | similar | 45 | 132.5 (114.7, 152.5) | 1.0 | -0.8 (-1.3, -0.2) |
St. Louis County | 8 | falling | similar | 208 | 133.0 (124.6, 141.8) | 1.0 | -0.9 (-1.2, -0.6) |
Mower County | 8 | falling | similar | 42 | 133.6 (115.0, 154.7) | 1.0 | -0.7 (-1.4, -0.1) |
Redwood County | 6 | stable | similar | 17 | 133.9 (104.1, 170.6) | 1.0 | -0.3 (-0.9, 0.4) |
Renville County | 6 | stable | similar | 16 | 134.1 (104.4, 170.7) | 1.0 | -1.3 (-2.9, 0.2) |
Itasca County | 8 | falling | similar | 52 | 135.1 (118.2, 154.2) | 1.0 | -1.2 (-1.7, -0.7) |
Cass County | 6 | stable | similar | 34 | 135.9 (114.4, 160.9) | 1.1 | -0.8 (-1.7, 0.1) |
Lake County | 8 | falling | similar | 13 | 136.3 (102.0, 180.8) | 1.1 | -1.5 (-2.7, -0.3) |
Aitkin County | 8 | falling | similar | 23 | 137.0 (109.8, 171.1) | 1.1 | -1.1 (-1.9, -0.3) |
Koochiching County | 8 | falling | similar | 17 | 137.5 (107.7, 175.5) | 1.1 | -1.1 (-2.1, -0.1) |
Hubbard County | 6 | stable | similar | 25 | 138.0 (112.8, 168.2) | 1.1 | -0.9 (-1.9, 0.1) |
Clearwater County | 6 | stable | similar | 9 | 139.5 (100.6, 190.2) | 1.1 | 0.1 (-1.3, 1.5) |
Meeker County | 8 | falling | similar | 27 | 140.3 (116.7, 168.0) | 1.1 | -0.7 (-1.3, -0.1) |
Kandiyohi County | 8 | falling | similar | 45 | 141.1 (122.0, 162.5) | 1.1 | -0.8 (-1.5, -0.1) |
Wilkin County | 6 | stable | similar | 7 | 143.3 (97.2, 207.0) | 1.1 | 0.3 (-1.3, 1.9) |
Douglas County | 6 | stable | similar | 47 | 144.2 (124.9, 166.1) | 1.1 | 0.0 (-0.6, 0.7) |
Polk County | 6 | stable | similar | 35 | 145.3 (123.4, 170.4) | 1.1 | -7.1 (-22.5, 11.4) |
Waseca County | 6 | stable | similar | 20 | 145.7 (117.8, 178.9) | 1.1 | -0.1 (-1.1, 0.9) |
Pennington County | 6 | stable | similar | 16 | 145.9 (114.0, 184.9) | 1.1 | -0.1 (-1.4, 1.1) |
Watonwan County | 6 | stable | similar | 13 | 146.8 (110.2, 193.1) | 1.1 | -0.7 (-1.9, 0.6) |
Faribault County | 6 | stable | similar | 20 | 149.2 (119.2, 186.3) | 1.2 | 0.3 (-0.6, 1.2) |
Chisago County | 4 | stable | higher | 53 | 150.4 (132.5, 170.2) | 1.2 | 9.4 (-1.9, 22.0) |
Martin County | 6 | stable | similar | 27 | 151.2 (124.1, 183.5) | 1.2 | -0.4 (-1.2, 0.5) |
Mille Lacs County | 8 | falling | similar | 29 | 151.4 (127.2, 179.5) | 1.2 | -0.9 (-1.7, 0.0) |
Kittson County | 6 | stable | similar | 6 | 151.4 (98.1, 230.2) | 1.2 | -0.1 (-1.8, 1.7) |
Lac qui Parle County | 6 | stable | similar | 10 | 158.6 (109.9, 224.9) | 1.2 | 0.2 (-1.5, 1.9) |
Sibley County | 6 | stable | similar | 18 | 160.9 (127.9, 200.8) | 1.2 | -0.3 (-1.4, 0.8) |
Wadena County | 4 | stable | higher | 19 | 166.8 (132.3, 208.8) | 1.3 | 0.5 (-0.6, 1.6) |
Lincoln County | 8 | falling | similar | 9 | 174.3 (122.9, 244.3) | 1.4 | -1.6 (-3.0, -0.2) |
Chippewa County | 1 | rising | higher | 19 | 175.1 (138.7, 219.7) | 1.4 | 1.8 (0.9, 2.7) |
Mahnomen County | 4 | stable | higher | 8 | 203.6 (142.5, 284.6) | 1.6 | -0.3 (-1.7, 1.2) |
Red Lake County |
|
** | similar | 4 | 137.2 (82.9, 219.5) | 1.1 |
|
Lake of the Woods County |
|
** |
|
|
|
|
|
Notes:
Created by statecancerprofiles.cancer.gov on 06/02/2024 5:23 am.
* 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:
Lake of the Woods County
Trend for the following could not be reliably determined due to small number of deaths per year:
Red Lake 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.
Created by statecancerprofiles.cancer.gov on 06/02/2024 5:23 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
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:
Lake of the Woods County
Trend for the following could not be reliably determined due to small number of deaths per year:
Red Lake 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.