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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

Liver & Bile Duct

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

Albany County
Broome County
Columbia County
Niagara County
Orange County
Oswego County
Queens County
Richmond County
Schenectady County
Ulster County
Warren County
Priority 3: rising and below

Dutchess County
Erie County
Monroe County
Oneida County
Stable
Trend
Priority 4: stable and above

Bronx County
Priority 6: stable and similar

Chautauqua County
Rensselaer County
Sullivan County
Priority 7: stable and below

Chemung County
Jefferson County
Nassau County
Onondaga County
Rockland County
Saratoga County
St. Lawrence County
Steuben County
Suffolk County
Westchester County
Falling
Trend
Priority 5: falling and above

Priority 8: falling and similar

Kings County
Priority 9: falling and below

New York County
Notes:
Created by statecancerprofiles.cancer.gov on 03/29/2024 4:40 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, Hamilton County, Herkimer County, Lewis County, Madison County, Schoharie County, Schuyler County, Yates County

Trend for the following could not be reliably determined due to small number of deaths per year:
Cattaraugus County, Cayuga County, Chenango County, Clinton County, Cortland County, Delaware County, Essex County, Franklin County, Fulton County, Genesee County, Greene County, Livingston County, Montgomery County, Ontario County, Orleans County, Otsego County, Putnam County, Seneca County, Tioga County, Tompkins County, Washington County, Wayne County, Wyoming 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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