Mortality > Table
Rate/Trend Comparison by Cancer Table
Above US Rate | Similar to US Rate | Below US Rate | |
---|---|---|---|
Rising Trend |
Priority 1: rising and above |
Priority 2: rising and similar |
Priority 3: rising and below |
Stable Trend |
Priority 4: stable and above Alpena County Bay County Chippewa County Clare County Gladwin County Gratiot County Montmorency County Roscommon County Tuscola County |
Priority 6: stable and similar Alcona County Alger County Baraga County Branch County Charlevoix County Crawford County Hillsdale County Huron County Iron County Isabella County Kalkaska County Kent County Lake County Luce County Mecosta County Menominee County Missaukee County Oceana County Ontonagon County Oscoda County Otsego County Schoolcraft County Wexford County |
Priority 7: stable and below |
Falling Trend |
Priority 5: falling and above Calhoun County Cass County Emmet County Genesee County Houghton County Ionia County Jackson County Lapeer County Macomb County Manistee County Muskegon County Newaygo County Sanilac County Shiawassee County St. Clair County St. Joseph County Van Buren County Wayne County |
Priority 8: falling and similar Allegan County Antrim County Arenac County Barry County Benzie County Berrien County Cheboygan County Clinton County Delta County Dickinson County Eaton County Gogebic County Grand Traverse County Ingham County Iosco County Kalamazoo County Lenawee County Livingston County Mackinac County Marquette County Mason County Midland County Monroe County Montcalm County Oakland County Ogemaw County Osceola County Ottawa County Presque Isle County Saginaw County Washtenaw County |
Priority 9: falling and below Leelanau County |
Notes: Created by statecancerprofiles.cancer.gov on 04/25/2024 8:10 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 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: Keweenaw 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. |