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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

Cervix

All Races, Female

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 - falling falling trend - 4,191 2.2 (2.2, 2.2) - -0.7 (-0.9, -0.6)
New York - falling falling trend - 237 1.9 (1.8, 2.0) - -4.7 (-6.8, -2.6)
Bronx County 5 falling falling trend higher 22 2.7 (2.2, 3.3) 1.2 -2.9 (-3.7, -2.1)
Albany County 6 stable stable trend similar 3 1.8 (1.0, 3.0) 0.8 -1.4 (-3.6, 0.8)
Monroe County 6 stable stable trend similar 9 1.9 (1.3, 2.5) 0.8 0.4 (-1.3, 2.1)
Erie County 8 falling falling trend similar 12 2.0 (1.5, 2.6) 0.9 -1.0 (-1.9, -0.2)
Kings County 8 falling falling trend similar 35 2.3 (2.0, 2.7) 1.1 -2.8 (-3.3, -2.3)
Orange County 8 falling falling trend similar 5 2.3 (1.5, 3.5) 1.1 -2.3 (-3.7, -0.9)
Queens County 8 falling falling trend similar 33 2.3 (1.9, 2.7) 1.0 -1.6 (-2.4, -0.8)
Richmond County 8 falling falling trend similar 6 1.7 (1.1, 2.5) 0.8 -2.5 (-3.9, -1.0)
Nassau County 9 falling falling trend lower 14 1.5 (1.1, 1.9) 0.7 -2.5 (-3.6, -1.4)
New York County 9 falling falling trend lower 18 1.6 (1.3, 2.1) 0.7 -3.8 (-4.5, -3.1)
Onondaga County 9 falling falling trend lower 4 1.5 (0.9, 2.3) 0.7 -2.4 (-4.1, -0.7)
Suffolk County 9 falling falling trend lower 14 1.5 (1.2, 2.0) 0.7 -2.2 (-3.1, -1.3)
Westchester County 9 falling falling trend lower 8 1.3 (1.0, 1.9) 0.6 -2.7 (-4.1, -1.3)
Allegany County
**
 		**
*
3 or fewer
*
*
**
Broome County
**
 		**
*
3 or fewer
*
*
**
Cattaraugus County
**
 		**
*
3 or fewer
*
*
**
Cayuga County
**
 		**
*
3 or fewer
*
*
**
Chautauqua County
**
 		**
*
3 or fewer
*
*
**
Chemung County
**
 		**
*
3 or fewer
*
*
**
Chenango County
**
 		**
*
3 or fewer
*
*
**
Clinton County
**
 		**
*
3 or fewer
*
*
**
Columbia County
**
 		**
*
3 or fewer
*
*
**
Cortland County
**
 		**
*
3 or fewer
*
*
**
Delaware County
**
 		**
*
3 or fewer
*
*
**
Dutchess County
**
 		**
*
3 or fewer
*
*
**
Essex County
**
 		**
*
3 or fewer
*
*
**
Franklin County
**
 		**
*
3 or fewer
*
*
**
Fulton County
**
 		**
*
3 or fewer
*
*
**
Genesee County
**
 		**
*
3 or fewer
*
*
**
Greene County
**
 		**
*
3 or fewer
*
*
**
Hamilton County
**
 		**
*
3 or fewer
*
*
**
Herkimer County
**
 		**
*
3 or fewer
*
*
**
Jefferson County
**
 		**
*
3 or fewer
*
*
**
Lewis County
**
 		**
*
3 or fewer
*
*
**
Livingston County
**
 		**
*
3 or fewer
*
*
**
Madison County
**
 		**
*
3 or fewer
*
*
**
Montgomery County
**
 		**
*
3 or fewer
*
*
**
Niagara County
**
 		**
*
3 or fewer
*
*
**
Oneida County
**
 		**
*
3 or fewer
*
*
**
Ontario County
**
 		**
*
3 or fewer
*
*
**
Orleans County
**
 		**
*
3 or fewer
*
*
**
Oswego County
**
 		**
*
3 or fewer
*
*
**
Otsego County
**
 		**
*
3 or fewer
*
*
**
Putnam County
**
 		**
*
3 or fewer
*
*
**
Rensselaer County
**
 		**
*
3 or fewer
*
*
**
Rockland County
**
 		**
*
3 or fewer
*
*
**
Saratoga County
**
 		**
*
3 or fewer
*
*
**
Schenectady County
**
 		**
*
3 or fewer
*
*
**
Schoharie County
**
 		**
*
3 or fewer
*
*
**
Schuyler County
**
 		**
*
3 or fewer
*
*
**
Seneca County
**
 		**
*
3 or fewer
*
*
**
St. Lawrence County
**
 		**
*
3 or fewer
*
*
**
Steuben County
**
 		**
*
3 or fewer
*
*
**
Sullivan County
**
 		**
*
3 or fewer
*
*
**
Tioga County
**
 		**
*
3 or fewer
*
*
**
Tompkins County
**
 		**
*
3 or fewer
*
*
**
Ulster County
**
 		**
*
3 or fewer
*
*
**
Warren County
**
 		**
*
3 or fewer
*
*
**
Washington County
**
 		**
*
3 or fewer
*
*
**
Wayne County
**
 		**
*
3 or fewer
*
*
**
Wyoming County
**
 		**
*
3 or fewer
*
*
**
Yates County
**
 		**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 04/26/2024 5:31 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.
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, Broome County, Cattaraugus County, Cayuga County, Chautauqua County, Chemung County, Chenango County, Clinton County, Columbia County, Cortland County, Delaware County, Dutchess County, Essex County, Franklin County, Fulton County, Genesee County, Greene County, Hamilton County, Herkimer County, Jefferson County, Lewis County, Livingston County, Madison County, Montgomery County, Niagara County, Oneida County, Ontario County, Orleans County, Oswego County, Otsego County, Putnam County, Rensselaer County, Rockland County, Saratoga County, Schenectady County, Schoharie County, Schuyler County, Seneca County, St. Lawrence County, Steuben County, Sullivan County, Tioga County, Tompkins County, Ulster County, Warren County, Washington County, Wayne County, Wyoming County, Yates 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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