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Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2016-2020

New York Counties versus United States

Brain & ONS

All Races, Both Sexes

Sorted by priority index
Counties
sort alphabetically by name ascending 		Priority Index1
1=highest
9=lowest
sort by priority index descending 		Recent Trend2
 County Death
Rate
Compared
to
US Rate
 Average Annual Count
sort by count descending 		Age-Adjusted Death Rate

deaths per 100,000
(95% Confidence Interval)
sort by rate descending 		Rate
Ratio3
County
to
US
sort by rate descending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend descending
United States - rising rising trend - 17,206 4.4 (4.4, 4.4) - 0.3 (0.1, 0.5)
New York - stable stable trend - 922 3.9 (3.8, 4.0) - 0.4 (-0.1, 0.9)
Kings County 3 rising rising trend lower 84 3.1 (2.8, 3.4) 0.7 1.1 (0.0, 2.3)
Onondaga County 4 stable stable trend higher 32 5.7 (4.8, 6.7) 1.3 0.8 (-0.2, 1.8)
Tompkins County 4 stable stable trend higher 7 7.2 (4.9, 10.1) 1.6 1.2 (-0.7, 3.1)
Albany County 6 stable stable trend similar 16 4.2 (3.3, 5.2) 0.9 -0.5 (-1.6, 0.5)
Broome County 6 stable stable trend similar 10 4.2 (3.0, 5.6) 0.9 -1.1 (-2.3, 0.2)
Cattaraugus County 6 stable stable trend similar 5 4.7 (2.9, 7.2) 1.1 -0.9 (-2.6, 0.8)
Chautauqua County 6 stable stable trend similar 8 4.9 (3.4, 6.8) 1.1 0.1 (-1.7, 1.9)
Chemung County 6 stable stable trend similar 6 5.1 (3.3, 7.5) 1.1 0.2 (-1.5, 2.0)
Dutchess County 6 stable stable trend similar 19 5.1 (4.1, 6.3) 1.2 0.3 (-0.9, 1.4)
Erie County 6 stable stable trend similar 50 4.3 (3.7, 4.9) 1.0 -0.1 (-0.7, 0.5)
Herkimer County 6 stable stable trend similar 4 4.7 (2.8, 7.5) 1.1 0.2 (-1.6, 2.0)
Livingston County 6 stable stable trend similar 4 5.2 (3.1, 8.4) 1.2 0.5 (-1.6, 2.7)
Monroe County 6 stable stable trend similar 41 4.6 (4.0, 5.3) 1.0 -0.2 (-0.8, 0.5)
Nassau County 6 stable stable trend similar 70 4.0 (3.6, 4.5) 0.9 -0.4 (-0.8, 0.1)
Niagara County 6 stable stable trend similar 14 4.8 (3.7, 6.2) 1.1 0.0 (-1.2, 1.3)
Ontario County 6 stable stable trend similar 7 4.4 (3.0, 6.4) 1.0 -0.1 (-1.5, 1.4)
Orange County 6 stable stable trend similar 17 4.1 (3.2, 5.0) 0.9 -0.3 (-1.4, 0.8)
Oswego County 6 stable stable trend similar 7 4.8 (3.3, 6.9) 1.1 0.7 (-0.9, 2.4)
Rensselaer County 6 stable stable trend similar 10 4.8 (3.5, 6.5) 1.1 1.3 (-0.1, 2.7)
Richmond County 6 stable stable trend similar 22 3.7 (3.0, 4.5) 0.8 -0.4 (-1.5, 0.8)
Rockland County 6 stable stable trend similar 15 3.8 (3.0, 4.9) 0.9 -1.2 (-2.5, 0.0)
Saratoga County 6 stable stable trend similar 14 4.5 (3.5, 5.8) 1.0 -0.1 (-1.6, 1.3)
Schenectady County 6 stable stable trend similar 8 4.2 (3.0, 5.8) 1.0 -0.1 (-1.2, 1.0)
St. Lawrence County 6 stable stable trend similar 5 3.7 (2.3, 5.7) 0.8 -1.4 (-3.0, 0.3)
Suffolk County 6 stable stable trend similar 83 4.3 (3.9, 4.7) 1.0 -0.2 (-0.8, 0.4)
Sullivan County 6 stable stable trend similar 3 3.4 (1.9, 5.8) 0.8 -1.2 (-3.3, 0.9)
Ulster County 6 stable stable trend similar 10 4.0 (2.9, 5.4) 0.9 0.2 (-1.1, 1.5)
Warren County 6 stable stable trend similar 5 5.3 (3.3, 8.1) 1.2 0.4 (-1.5, 2.2)
Washington County 6 stable stable trend similar 6 6.9 (4.6, 10.2) 1.6 0.9 (-1.0, 2.8)
Wayne County 6 stable stable trend similar 6 4.5 (3.0, 6.7) 1.0 1.5 (-0.5, 3.6)
Westchester County 6 stable stable trend similar 48 4.0 (3.5, 4.5) 0.9 -0.6 (-1.2, 0.1)
Bronx County 7 stable stable trend lower 44 3.0 (2.6, 3.5) 0.7 -0.8 (-1.5, 0.0)
New York County 7 stable stable trend lower 69 3.6 (3.2, 4.0) 0.8 -0.1 (-0.7, 0.4)
Queens County 7 stable stable trend lower 81 3.0 (2.7, 3.3) 0.7 -0.4 (-0.9, 0.1)
Oneida County 8 falling falling trend similar 13 4.4 (3.4, 5.7) 1.0 -1.0 (-1.6, -0.4)
Putnam County 8 falling falling trend similar 6 4.4 (2.9, 6.4) 1.0 -1.9 (-3.5, -0.3)
Cayuga County
**
 		** similar 3 3.2 (1.8, 5.4) 0.7
**
Chenango County
**
 		** similar 4 6.8 (4.0, 11.0) 1.5
**
Clinton County
**
 		** similar 4 4.4 (2.7, 6.9) 1.0
**
Columbia County
**
 		** similar 4 3.9 (2.3, 6.4) 0.9
**
Genesee County
**
 		** similar 4 5.0 (2.9, 8.2) 1.1
**
Greene County
**
 		** similar 4 4.6 (2.7, 7.6) 1.0
**
Jefferson County
**
 		** similar 5 4.4 (2.8, 6.6) 1.0
**
Madison County
**
 		** similar 4 4.2 (2.5, 6.7) 1.0
**
Montgomery County
**
 		** similar 4 6.1 (3.5, 9.9) 1.4
**
Otsego County
**
 		** similar 4 5.5 (3.3, 8.8) 1.2
**
Steuben County
**
 		** similar 4 3.8 (2.3, 6.0) 0.9
**
Allegany County
**
 		**
*
3 or fewer
*
*
**
Cortland County
**
 		**
*
3 or fewer
*
*
**
Delaware County
**
 		**
*
3 or fewer
*
*
**
Essex County
**
 		**
*
3 or fewer
*
*
**
Franklin County
**
 		**
*
3 or fewer
*
*
**
Fulton County
**
 		**
*
3 or fewer
*
*
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Lewis County
**
 		**
*
3 or fewer
*
*
**
Orleans County
**
 		**
*
3 or fewer
*
*
**
Schoharie County
**
 		**
*
3 or fewer
*
*
**
Schuyler County
**
 		**
*
3 or fewer
*
*
**
Seneca County
**
 		**
*
3 or fewer
*
*
**
Tioga County
**
 		**
*
3 or fewer
*
*
**
Wyoming County
**
 		**
*
3 or fewer
*
*
**
Yates County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/05/2024 2:33 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

* 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:
Allegany County, Cortland County, Delaware County, Essex County, Franklin County, Fulton County, Hamilton County, Lewis County, Orleans County, Schoharie County, Schuyler County, Seneca County, Tioga County, Wyoming County, Yates County

Trend for the following could not be reliably determined due to small number of deaths per year:
Cayuga County, Chenango County, Clinton County, Columbia County, Genesee County, Greene County, Jefferson County, Madison County, Montgomery County, Otsego County, Steuben 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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