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Interpretation of Death Rates Data

Death Rate Report for New York by County

All Cancer Sites, 2019-2023

Hispanic (any race), Both Sexes, All Ages

Sorted by Rate

Explanation of Column Headers

Death Rate (95% Confidence Interval) - The death rate is based upon 100,000 people and is for 5 year(s). Rates are age-adjusted by 5-year age groups to the 2000 U.S. standard million population (the Healthy People 2020 goals are based on rates adjusted using different methods but the differences should be minimal).

Recent Trends - This is an interpretation of the AAPC:

AAPC (95% Confidence Interval) - The Average Annual Percent Change is the change in rate over time. These AAPCs are based upon APCs that were calculated by Joinpoint Regression Program


Other Notes


Line by Line Interpretation of the Report


New York


United States


Saratoga County


Albany County


Putnam County


Westchester County


Queens County


Nassau County


Dutchess County


Onondaga County


Orange County


Kings County


Rockland County


Richmond County


Suffolk County


Rensselaer County


New York County


Ulster County


Oneida County


Bronx County


Broome County


Erie County


Schenectady County


Niagara County


Montgomery County


Wayne County


Monroe County


Chautauqua County


Sullivan County


Allegany County Cattaraugus County Cayuga County Chemung County Chenango County Clinton County Columbia County Cortland County Delaware County Essex County Franklin County Fulton County Genesee County Greene County Hamilton County Herkimer County Jefferson County Lewis County Livingston County Madison County Ontario County Orleans County Oswego County Otsego County Schoharie County Schuyler County Seneca County St. Lawrence County Steuben County Tioga County Tompkins County Warren County Washington County Wyoming County Yates County


Notes:
Created by statecancerprofiles.cancer.gov on 03/12/2026 12:30 am.

State Cancer Registries may provide more current or more local data.

Trend
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.


† 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 (20 age groups: <1, 1-4, 5-9, ... , 80-84, 85-89, 90+).

The Healthy People 2030 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.

‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.

⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.

Φ Rural–urban county classifications are based on the 2023 USDA Rural–Urban Continuum Codes (except for Connecticut Counties which use 2013 codes). State-level cancer rates for rural areas are calculated using cancer cases registered exclusively in rural counties, while state-level cancer rates for urban areas are calculated using cases registered exclusively in urban counties.

* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category.

If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).

NHIA (NAACCR Hispanic Identification Algorithm) was used for Hispanic Ethnicity (see Technical Notes section of the USCS).

Data for United States does not include Puerto Rico.