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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

Bladder

All Races, Both Sexes

Sorted by rateratio
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 ascending 		Recent 5-Year Trend2 in Death Rates
(95% Confidence Interval)
sort by trend descending
United States - falling falling trend - 16,684 4.2 (4.1, 4.2) - -2.5 (-3.2, -1.7)
New York - falling falling trend - 977 3.8 (3.7, 3.9) - -4.8 (-7.9, -1.7)
Madison County 4 stable stable trend higher 6 6.7 (4.5, 9.6) 1.6 -1.1 (-2.6, 0.5)
Chemung County 6 stable stable trend similar 7 5.8 (4.0, 8.1) 1.4 -0.2 (-1.7, 1.2)
Chenango County 6 stable stable trend similar 4 5.5 (3.3, 8.8) 1.3 -0.5 (-2.5, 1.7)
Ulster County 6 stable stable trend similar 14 5.2 (4.0, 6.6) 1.2 -0.9 (-2.1, 0.3)
Warren County 6 stable stable trend similar 5 5.2 (3.4, 7.8) 1.2 0.7 (-1.5, 2.8)
Orange County 6 stable stable trend similar 21 5.2 (4.2, 6.3) 1.2 -0.1 (-1.0, 0.8)
Oneida County 6 stable stable trend similar 17 4.9 (3.9, 6.2) 1.2 0.3 (-0.9, 1.5)
Genesee County 6 stable stable trend similar 5 4.9 (3.1, 7.7) 1.2 0.1 (-1.4, 1.7)
St. Lawrence County 6 stable stable trend similar 7 4.9 (3.4, 6.9) 1.2 -1.0 (-2.3, 0.3)
Ontario County 6 stable stable trend similar 8 4.9 (3.5, 6.7) 1.2 -0.8 (-1.9, 0.3)
Suffolk County 5 falling falling trend higher 95 4.8 (4.4, 5.3) 1.2 -0.7 (-1.1, -0.3)
Otsego County 6 stable stable trend similar 5 4.8 (3.0, 7.4) 1.1 -0.3 (-2.4, 1.9)
Richmond County 8 falling falling trend similar 28 4.7 (3.9, 5.6) 1.1 -11.8 (-20.3, -2.4)
Erie County 8 falling falling trend similar 61 4.7 (4.2, 5.3) 1.1 -0.6 (-0.9, -0.2)
Niagara County 6 stable stable trend similar 14 4.6 (3.6, 5.9) 1.1 0.2 (-1.0, 1.5)
Schenectady County 6 stable stable trend similar 10 4.5 (3.3, 6.0) 1.1 -0.8 (-2.1, 0.5)
Cayuga County 6 stable stable trend similar 5 4.5 (2.9, 6.8) 1.1 -0.2 (-2.2, 1.9)
Steuben County 8 falling falling trend similar 6 4.5 (3.0, 6.4) 1.1 -1.6 (-3.2, 0.0)
Livingston County 6 stable stable trend similar 4 4.4 (2.7, 7.1) 1.1 0.5 (-1.1, 2.0)
Dutchess County 6 stable stable trend similar 18 4.4 (3.6, 5.5) 1.1 -0.9 (-2.0, 0.1)
Jefferson County 6 stable stable trend similar 5 4.4 (2.8, 6.4) 1.0 -1.3 (-3.0, 0.5)
Clinton County 8 falling falling trend similar 5 4.3 (2.7, 6.6) 1.0 -2.4 (-4.0, -0.8)
Cattaraugus County 6 stable stable trend similar 5 4.3 (2.7, 6.5) 1.0 0.2 (-1.5, 2.0)
Rensselaer County 6 stable stable trend similar 9 4.2 (3.1, 5.7) 1.0 -0.9 (-1.9, 0.2)
Columbia County 6 stable stable trend similar 4 4.1 (2.6, 6.6) 1.0 -1.6 (-3.4, 0.3)
Nassau County 8 falling falling trend similar 81 4.1 (3.7, 4.5) 1.0 -0.7 (-1.2, -0.2)
Broome County 6 stable stable trend similar 13 4.1 (3.1, 5.3) 1.0 -0.4 (-1.3, 0.4)
Monroe County 6 stable stable trend similar 40 4.0 (3.4, 4.6) 1.0 -14.8 (-33.6, 9.4)
Saratoga County 6 stable stable trend similar 13 3.9 (3.0, 5.1) 0.9 -1.1 (-2.3, 0.2)
Albany County 8 falling falling trend similar 16 3.9 (3.1, 4.9) 0.9 -1.4 (-2.5, -0.2)
Chautauqua County 6 stable stable trend similar 8 3.8 (2.7, 5.4) 0.9 -0.3 (-1.9, 1.2)
Onondaga County 8 falling falling trend similar 23 3.6 (2.9, 4.4) 0.9 -1.1 (-1.8, -0.3)
Westchester County 9 falling falling trend lower 48 3.4 (3.0, 3.9) 0.8 -1.3 (-1.8, -0.8)
Oswego County 6 stable stable trend similar 5 3.4 (2.2, 5.1) 0.8 -1.5 (-3.2, 0.2)
Sullivan County 8 falling falling trend similar 3 3.3 (1.9, 5.5) 0.8 -1.6 (-3.1, 0.0)
Tompkins County 8 falling falling trend similar 3 3.1 (1.7, 5.1) 0.7 -2.0 (-3.9, -0.2)
Rockland County 7 stable stable trend lower 13 3.1 (2.4, 3.9) 0.7 -0.4 (-1.4, 0.6)
Bronx County 9 falling falling trend lower 45 3.1 (2.7, 3.5) 0.7 -1.9 (-2.3, -1.4)
New York County 9 falling falling trend lower 66 3.0 (2.7, 3.4) 0.7 -1.3 (-1.9, -0.7)
Kings County 9 falling falling trend lower 83 2.9 (2.6, 3.2) 0.7 -1.1 (-1.8, -0.5)
Queens County 7 stable stable trend lower 81 2.9 (2.6, 3.2) 0.7 -10.8 (-23.6, 4.2)
Delaware County
**
 		** similar 4 4.8 (2.9, 7.9) 1.2
**
Fulton County
**
 		** similar 4 4.7 (2.9, 7.6) 1.1
**
Greene County
**
 		** similar 5 6.7 (4.4, 10.2) 1.6
**
Herkimer County
**
 		** similar 4 4.3 (2.6, 6.8) 1.0
**
Montgomery County
**
 		** similar 4 5.0 (2.9, 8.0) 1.2
**
Orleans County
**
 		** similar 4 7.2 (4.4, 11.5) 1.7
**
Putnam County
**
 		** similar 6 5.0 (3.4, 7.2) 1.2
**
Wayne County
**
 		** higher 8 6.1 (4.3, 8.4) 1.5
**
Wyoming County
**
 		** similar 3 7.1 (4.1, 11.6) 1.7
**
Allegany County
**
 		**
*
3 or fewer
*
*
**
Cortland County
**
 		**
*
3 or fewer
*
*
**
Essex County
**
 		**
*
3 or fewer
*
*
**
Franklin County
**
 		**
*
3 or fewer
*
*
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Lewis County
**
 		**
*
3 or fewer
*
*
**
Schoharie County
**
 		**
*
3 or fewer
*
*
**
Schuyler County
**
 		**
*
3 or fewer
*
*
**
Seneca County
**
 		**
*
3 or fewer
*
*
**
Tioga County
**
 		**
*
3 or fewer
*
*
**
Washington County
**
 		**
*
3 or fewer
*
*
**
Yates County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 05/03/2024 2:21 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, Cortland County, Essex County, Franklin County, Hamilton County, Lewis County, Schoharie County, Schuyler County, Seneca County, Tioga County, Washington County, Yates County

Trend for the following could not be reliably determined due to small number of deaths per year:
Delaware County, Fulton County, Greene County, Herkimer County, Montgomery County, Orleans County, Putnam 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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