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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

Esophagus

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 - falling falling trend - 15,567 3.8 (3.8, 3.8) - -1.2 (-1.3, -1.1)
New York - falling falling trend - 848 3.3 (3.2, 3.4) - -2.4 (-2.9, -1.9)
Cayuga County 4 stable stable trend higher 7 6.3 (4.4, 8.9) 1.7 1.4 (-0.4, 3.2)
Chautauqua County 4 stable stable trend higher 11 6.4 (4.8, 8.5) 1.7 0.4 (-0.8, 1.6)
Erie County 4 stable stable trend higher 57 4.3 (3.8, 4.9) 1.1 -6.4 (-12.7, 0.3)
Essex County 4 stable stable trend higher 4 6.7 (4.2, 10.6) 1.8 0.2 (-1.8, 2.3)
Jefferson County 4 stable stable trend higher 8 7.1 (5.0, 9.7) 1.9 1.3 (-0.4, 3.1)
Niagara County 4 stable stable trend higher 19 5.8 (4.6, 7.2) 1.5 0.3 (-0.8, 1.4)
Oneida County 4 stable stable trend higher 18 5.4 (4.3, 6.7) 1.4 -0.5 (-1.7, 0.7)
Oswego County 4 stable stable trend higher 9 5.5 (3.9, 7.5) 1.5 0.2 (-1.0, 1.4)
Rensselaer County 4 stable stable trend higher 13 6.1 (4.7, 7.8) 1.6 0.1 (-1.2, 1.5)
St. Lawrence County 4 stable stable trend higher 10 6.9 (5.1, 9.3) 1.8 0.6 (-1.0, 2.1)
Monroe County 5 falling falling trend higher 45 4.5 (4.0, 5.2) 1.2 -0.7 (-1.3, 0.0)
Albany County 6 stable stable trend similar 16 3.9 (3.1, 4.9) 1.0 -0.5 (-1.5, 0.5)
Broome County 6 stable stable trend similar 12 4.1 (3.1, 5.4) 1.1 -0.2 (-1.1, 0.7)
Chemung County 6 stable stable trend similar 6 4.5 (3.0, 6.7) 1.2 -0.2 (-1.7, 1.4)
Columbia County 6 stable stable trend similar 5 4.5 (2.8, 7.2) 1.2 -0.2 (-2.3, 2.0)
Delaware County 6 stable stable trend similar 4 4.5 (2.7, 7.5) 1.2 0.9 (-0.7, 2.4)
Dutchess County 6 stable stable trend similar 16 3.9 (3.1, 4.9) 1.0 -0.6 (-1.7, 0.4)
Herkimer County 6 stable stable trend similar 5 5.0 (3.2, 7.5) 1.3 0.9 (-0.9, 2.7)
Livingston County 6 stable stable trend similar 5 5.9 (3.8, 8.8) 1.5 -0.2 (-1.9, 1.6)
Onondaga County 6 stable stable trend similar 25 4.0 (3.3, 4.8) 1.1 -0.5 (-1.4, 0.4)
Ontario County 6 stable stable trend similar 7 4.4 (3.1, 6.2) 1.2 -0.3 (-2.1, 1.5)
Orange County 6 stable stable trend similar 17 4.0 (3.2, 4.9) 1.0 -0.7 (-1.8, 0.4)
Otsego County 6 stable stable trend similar 5 5.5 (3.4, 8.5) 1.4 1.4 (-0.9, 3.8)
Schenectady County 6 stable stable trend similar 8 4.2 (3.0, 5.8) 1.1 -1.3 (-2.8, 0.3)
Steuben County 6 stable stable trend similar 6 4.4 (2.9, 6.4) 1.1 -0.6 (-2.0, 0.8)
Tompkins County 6 stable stable trend similar 5 4.5 (2.9, 6.7) 1.2 0.0 (-1.6, 1.5)
Ulster County 6 stable stable trend similar 13 5.0 (3.8, 6.4) 1.3 0.2 (-1.4, 1.8)
Warren County 6 stable stable trend similar 6 5.3 (3.5, 7.9) 1.4 1.1 (-0.8, 3.1)
Washington County 6 stable stable trend similar 4 4.7 (2.9, 7.5) 1.2 0.4 (-1.5, 2.4)
Wayne County 6 stable stable trend similar 6 4.3 (2.9, 6.2) 1.1 -1.2 (-3.0, 0.6)
Richmond County 7 stable stable trend lower 18 2.9 (2.4, 3.6) 0.8 -0.9 (-2.0, 0.2)
Rockland County 7 stable stable trend lower 7 1.8 (1.2, 2.5) 0.5 -29.3 (-53.4, 7.3)
Saratoga County 8 falling falling trend similar 12 3.8 (2.9, 4.9) 1.0 -1.3 (-2.4, -0.2)
Suffolk County 8 falling falling trend similar 72 3.5 (3.2, 3.9) 0.9 -3.1 (-4.9, -1.2)
Bronx County 9 falling falling trend lower 32 2.1 (1.8, 2.4) 0.6 -3.7 (-4.3, -3.1)
Kings County 9 falling falling trend lower 56 1.9 (1.7, 2.2) 0.5 -3.1 (-3.6, -2.6)
Nassau County 9 falling falling trend lower 54 2.9 (2.5, 3.2) 0.8 -2.1 (-2.9, -1.2)
New York County 9 falling falling trend lower 46 2.2 (1.9, 2.5) 0.6 -6.2 (-8.6, -3.7)
Queens County 9 falling falling trend lower 66 2.3 (2.0, 2.5) 0.6 -2.0 (-2.5, -1.4)
Westchester County 9 falling falling trend lower 35 2.7 (2.3, 3.2) 0.7 -1.3 (-1.9, -0.7)
Cattaraugus County
**
** similar 6 6.0 (4.0, 8.7) 1.6
**
Clinton County
**
** similar 4 3.8 (2.3, 6.0) 1.0
**
Cortland County
**
** similar 3 5.6 (3.2, 9.2) 1.5
**
Franklin County
**
** similar 4 6.1 (3.7, 9.6) 1.6
**
Fulton County
**
** higher 6 7.2 (4.7, 10.7) 1.9
**
Genesee County
**
** similar 5 5.8 (3.7, 8.8) 1.5
**
Greene County
**
** similar 3 4.4 (2.5, 7.5) 1.2
**
Madison County
**
** similar 5 4.6 (2.9, 7.0) 1.2
**
Montgomery County
**
** similar 3 5.1 (2.8, 8.5) 1.3
**
Orleans County
**
** higher 4 7.1 (4.3, 11.3) 1.9
**
Putnam County
**
** similar 5 3.6 (2.4, 5.5) 1.0
**
Seneca County
**
** similar 4 7.0 (4.1, 11.4) 1.8
**
Sullivan County
**
** similar 3 3.1 (1.8, 5.1) 0.8
**
Tioga County
**
** similar 3 4.7 (2.7, 7.9) 1.2
**
Yates County
**
** higher 4 9.4 (5.4, 15.7) 2.5
**
Allegany County
**
**
*
3 or fewer
*
*
**
Chenango County
**
**
*
3 or fewer
*
*
**
Hamilton County
**
**
*
3 or fewer
*
*
**
Lewis County
**
**
*
3 or fewer
*
*
**
Schoharie County
**
**
*
3 or fewer
*
*
**
Schuyler County
**
**
*
3 or fewer
*
*
**
Wyoming County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 03/28/2024 6:02 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, Hamilton County, Lewis County, Schoharie County, Schuyler County, Wyoming County

Trend for the following could not be reliably determined due to small number of deaths per year:
Cattaraugus County, Clinton County, Cortland County, Franklin County, Fulton County, Genesee County, Greene County, Madison County, Montgomery County, Orleans County, Putnam County, Seneca County, Sullivan County, Tioga 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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