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Rate/Trend Comparison by Cancer Table

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Death Rate/Trend Comparison by Cancer, 2016-2020

New York Counties versus United States

Melanoma of the Skin

All Races, Both Sexes

  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

Rensselaer County
Priority 6: stable and similar

Albany County
Erie County
Monroe County
Niagara County
Oneida County
Onondaga County
Ontario County
Orange County
Saratoga County
Schenectady County
Warren County
Priority 7: stable and below

Richmond County
Falling
Trend
Priority 5: falling and above

Priority 8: falling and similar

Broome County
Chautauqua County
Dutchess County
Rockland County
Suffolk County
Ulster County
Priority 9: falling and below

Bronx County
Kings County
Nassau County
New York County
Queens County
Westchester County
Notes:
Created by statecancerprofiles.cancer.gov on 04/19/2024 7:11 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

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:
Allegany County, Cattaraugus County, Chenango County, Clinton County, Cortland County, Delaware County, Essex County, Franklin County, Fulton County, Genesee County, Greene County, Hamilton County, Herkimer County, Lewis County, Livingston County, Madison County, Montgomery County, Orleans County, Oswego County, Otsego County, Putnam County, Schoharie County, Schuyler County, Seneca County, St. Lawrence County, Sullivan County, Tioga County, Tompkins County, Washington County, Wyoming County, Yates County

Trend for the following could not be reliably determined due to small number of deaths per year:
Cayuga County, Chemung County, Columbia County, Jefferson County, Steuben County, Wayne 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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