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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

Kidney & Renal Pelvis

All Races, Both Sexes

Sorted by trend
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 ascending
United States - falling falling trend - 14,079 3.5 (3.5, 3.5) - -2.1 (-2.9, -1.2)
New York - falling falling trend - 668 2.7 (2.6, 2.8) - -2.4 (-3.2, -1.6)
Richmond County 6 stable stable trend similar 20 3.4 (2.8, 4.2) 1.0 0.2 (-0.6, 1.1)
Chemung County 6 stable stable trend similar 5 4.9 (3.2, 7.3) 1.4 0.1 (-2.0, 2.3)
Ontario County 8 falling falling trend similar 4 2.6 (1.6, 4.0) 0.7 -2.4 (-4.2, -0.5)
Dutchess County 9 falling falling trend lower 11 2.8 (2.1, 3.6) 0.8 -2.3 (-4.0, -0.5)
New York County 9 falling falling trend lower 38 1.8 (1.6, 2.1) 0.5 -2.0 (-2.7, -1.4)
Westchester County 9 falling falling trend lower 28 2.1 (1.8, 2.5) 0.6 -1.9 (-2.5, -1.2)
Schenectady County 9 falling falling trend lower 5 2.5 (1.6, 3.7) 0.7 -1.8 (-3.4, -0.2)
Monroe County 9 falling falling trend lower 30 3.0 (2.5, 3.5) 0.8 -1.7 (-2.3, -1.0)
Oswego County 6 stable stable trend similar 6 3.7 (2.5, 5.5) 1.1 -1.6 (-3.2, 0.1)
Kings County 9 falling falling trend lower 58 2.1 (1.8, 2.3) 0.6 -1.6 (-2.2, -1.0)
Suffolk County 9 falling falling trend lower 53 2.6 (2.3, 3.0) 0.7 -1.6 (-2.2, -1.0)
Nassau County 9 falling falling trend lower 45 2.4 (2.1, 2.7) 0.7 -1.6 (-2.2, -0.9)
Queens County 9 falling falling trend lower 60 2.1 (1.9, 2.4) 0.6 -1.6 (-2.1, -1.1)
Ulster County 6 stable stable trend similar 8 3.1 (2.2, 4.3) 0.9 -1.5 (-3.3, 0.4)
Rockland County 9 falling falling trend lower 11 2.7 (2.0, 3.5) 0.8 -1.5 (-2.5, -0.4)
Warren County 6 stable stable trend similar 4 3.5 (2.1, 5.8) 1.0 -1.3 (-3.1, 0.6)
Orange County 9 falling falling trend lower 12 2.7 (2.1, 3.6) 0.8 -1.2 (-2.3, 0.0)
Saratoga County 6 stable stable trend similar 9 3.0 (2.2, 4.1) 0.9 -1.0 (-2.3, 0.3)
Oneida County 7 stable stable trend lower 9 2.7 (2.0, 3.6) 0.8 -1.0 (-2.2, 0.2)
Erie County 8 falling falling trend similar 40 3.1 (2.7, 3.6) 0.9 -1.0 (-1.7, -0.3)
Chautauqua County 6 stable stable trend similar 6 3.0 (2.0, 4.4) 0.9 -0.9 (-2.6, 0.8)
Niagara County 6 stable stable trend similar 11 3.7 (2.7, 4.9) 1.0 -0.9 (-1.7, 0.0)
Cattaraugus County 6 stable stable trend similar 4 3.7 (2.3, 5.8) 1.1 -0.8 (-2.7, 1.2)
Broome County 6 stable stable trend similar 10 3.3 (2.4, 4.4) 0.9 -0.8 (-2.1, 0.4)
Albany County 6 stable stable trend similar 12 3.1 (2.4, 4.1) 0.9 -0.7 (-1.8, 0.5)
Onondaga County 6 stable stable trend similar 20 3.3 (2.7, 4.0) 0.9 -0.7 (-1.7, 0.3)
Columbia County 6 stable stable trend similar 4 3.7 (2.2, 6.1) 1.1 -0.6 (-2.2, 1.1)
Bronx County 9 falling falling trend lower 40 2.8 (2.4, 3.2) 0.8 -0.6 (-1.0, -0.2)
Clinton County 6 stable stable trend similar 5 5.0 (3.3, 7.5) 1.4 -0.3 (-2.3, 1.6)
Rensselaer County 6 stable stable trend similar 9 4.5 (3.3, 6.0) 1.3 -0.3 (-1.8, 1.2)
Cayuga County
**
 		** similar 3 2.9 (1.7, 4.9) 0.8
**
Genesee County
**
 		** similar 4 4.7 (2.9, 7.5) 1.4
**
Jefferson County
**
 		** similar 5 4.2 (2.7, 6.3) 1.2
**
Otsego County
**
 		** similar 3 3.8 (2.2, 6.3) 1.1
**
St. Lawrence County
**
 		** similar 5 3.3 (2.1, 5.0) 0.9
**
Steuben County
**
 		** similar 4 2.6 (1.5, 4.3) 0.8
**
Sullivan County
**
 		** similar 5 5.1 (3.3, 7.6) 1.4
**
Tompkins County
**
 		** similar 4 3.7 (2.2, 5.9) 1.1
**
Washington County
**
 		** similar 5 5.4 (3.5, 8.2) 1.5
**
Wayne County
**
 		** similar 5 3.8 (2.5, 5.8) 1.1
**
Allegany County
**
 		**
*
3 or fewer
*
*
**
Chenango 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
*
*
**
Greene County
**
 		**
*
3 or fewer
*
*
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Herkimer County
**
 		**
*
3 or fewer
*
*
**
Lewis County
**
 		**
*
3 or fewer
*
*
**
Livingston County
**
 		**
*
3 or fewer
*
*
**
Madison County
**
 		**
*
3 or fewer
*
*
**
Montgomery County
**
 		**
*
3 or fewer
*
*
**
Orleans County
**
 		**
*
3 or fewer
*
*
**
Putnam 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 04/27/2024 11:16 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

* 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, Chenango County, Cortland County, Delaware County, Essex County, Franklin County, Fulton County, Greene County, Hamilton County, Herkimer County, Lewis County, Livingston County, Madison County, Montgomery County, Orleans County, Putnam 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, Genesee County, Jefferson County, Otsego County, St. Lawrence County, Steuben County, Sullivan County, Tompkins County, Washington 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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