Return to Home Mortality > Table > Data Table

Data Table for Rate/Trend Comparison by Cancer

Death Rate/Trend Comparison by Cancer, 2018-2022

New York Counties versus United States

Non-Hodgkin Lymphoma

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 - fallingfalling - 20,108 5.0 (4.9, 5.0) - -2.1 (-2.2, -2.1)
New York - fallingfalling - 1,115 4.3 (4.2, 4.4) - -4.7 (-6.9, -2.9)
Cattaraugus County 6 stablestable similar 6 5.6 (3.8, 8.1) 1.1 -0.3 (-2.0, 1.6)
Chemung County 6 stablestable similar 8 6.3 (4.5, 8.7) 1.3 -0.2 (-1.5, 1.2)
Clinton County 6 stablestable similar 6 6.1 (4.1, 8.8) 1.2 -0.9 (-3.0, 1.4)
Columbia County 6 stablestable similar 5 4.8 (3.2, 7.3) 1.0 -0.8 (-2.2, 0.9)
Delaware County 6 stablestable similar 4 5.4 (3.4, 8.7) 1.1 -1.5 (-3.8, 0.8)
Greene County 6 stablestable similar 5 6.0 (3.8, 9.2) 1.2 -1.4 (-3.3, 0.5)
Madison County 6 stablestable similar 6 7.1 (4.8, 10.2) 1.4 0.3 (-1.5, 2.5)
Nassau County 6 stablestable similar 96 5.0 (4.5, 5.4) 1.0 -1.4 (-2.2, 1.2)
Oneida County 6 stablestable similar 16 5.1 (4.0, 6.4) 1.0 -1.2 (-2.5, 0.1)
Orleans County 6 stablestable similar 4 7.5 (4.4, 11.9) 1.5 -0.8 (-2.6, 1.0)
Otsego County 6 stablestable similar 6 7.4 (4.9, 11.0) 1.5 -1.1 (-2.5, 0.4)
Rensselaer County 6 stablestable similar 12 5.9 (4.5, 7.7) 1.2 -0.8 (-2.2, 0.5)
Seneca County 6 stablestable similar 3 7.0 (4.0, 11.6) 1.4 -0.8 (-2.5, 1.1)
Steuben County 6 stablestable similar 8 5.6 (3.9, 7.8) 1.1 -1.2 (-2.4, 0.1)
Warren County 6 stablestable similar 5 4.6 (2.9, 7.0) 0.9 -1.7 (-3.8, 0.5)
Washington County 6 stablestable similar 5 5.5 (3.5, 8.5) 1.1 -1.9 (-4.1, 0.2)
Albany County 8 fallingfalling similar 18 4.3 (3.4, 5.3) 0.9 -2.2 (-3.1, -1.5)
Broome County 8 fallingfalling similar 15 5.2 (4.0, 6.6) 1.0 -2.1 (-3.2, -1.1)
Cayuga County 8 fallingfalling similar 7 5.6 (3.8, 8.1) 1.1 -1.9 (-3.5, -0.3)
Chautauqua County 8 fallingfalling similar 8 4.3 (3.1, 6.0) 0.9 -23.7 (-39.7, -0.7)
Dutchess County 8 fallingfalling similar 19 4.5 (3.6, 5.6) 0.9 -2.9 (-3.9, -2.0)
Erie County 8 fallingfalling similar 67 5.1 (4.5, 5.7) 1.0 -2.1 (-2.5, -1.7)
Jefferson County 8 fallingfalling similar 7 5.3 (3.7, 7.5) 1.1 -2.5 (-4.1, -1.1)
Monroe County 8 fallingfalling similar 53 5.3 (4.6, 6.0) 1.1 -1.9 (-2.4, -1.4)
Niagara County 8 fallingfalling similar 15 4.9 (3.8, 6.2) 1.0 -2.1 (-3.2, -1.2)
Ontario County 8 fallingfalling similar 7 4.4 (3.0, 6.2) 0.9 -1.9 (-3.4, -0.3)
Orange County 8 fallingfalling similar 18 4.1 (3.3, 5.1) 0.8 -2.7 (-3.5, -1.9)
Oswego County 8 fallingfalling similar 9 6.0 (4.4, 8.2) 1.2 -1.9 (-3.3, -0.5)
Putnam County 8 fallingfalling similar 7 5.4 (3.8, 7.7) 1.1 -2.1 (-3.1, -1.0)
Richmond County 8 fallingfalling similar 26 4.3 (3.6, 5.2) 0.9 -3.2 (-10.2, -2.4)
Rockland County 8 fallingfalling similar 16 4.1 (3.2, 5.1) 0.8 -3.9 (-18.6, -1.3)
Saratoga County 8 fallingfalling similar 16 5.0 (4.0, 6.3) 1.0 -1.7 (-2.7, -0.6)
Schenectady County 8 fallingfalling similar 10 4.6 (3.4, 6.2) 0.9 -2.8 (-3.9, -1.8)
St. Lawrence County 8 fallingfalling similar 6 4.3 (2.9, 6.2) 0.9 -1.8 (-3.1, -0.5)
Tompkins County 8 fallingfalling similar 5 4.6 (3.0, 6.8) 0.9 -1.4 (-2.7, -0.1)
Ulster County 8 fallingfalling similar 13 4.9 (3.7, 6.2) 1.0 -2.1 (-3.0, -1.1)
Wayne County 8 fallingfalling similar 7 5.5 (3.8, 7.9) 1.1 -2.3 (-3.9, -0.9)
Bronx County 9 fallingfalling lower 58 3.8 (3.4, 4.3) 0.8 -15.4 (-19.8, -11.8)
Kings County 9 fallingfalling lower 99 3.3 (3.1, 3.7) 0.7 -3.1 (-3.7, -2.6)
New York County 9 fallingfalling lower 85 3.9 (3.5, 4.3) 0.8 -3.9 (-4.5, -3.3)
Onondaga County 9 fallingfalling lower 25 3.9 (3.3, 4.7) 0.8 -2.4 (-3.4, -1.5)
Queens County 9 fallingfalling lower 109 3.7 (3.3, 4.0) 0.7 -2.7 (-3.2, -2.3)
Suffolk County 9 fallingfalling lower 87 4.3 (3.9, 4.7) 0.9 -2.5 (-3.0, -2.0)
Westchester County 9 fallingfalling lower 59 4.2 (3.7, 4.7) 0.8 -3.4 (-4.5, -2.9)
Genesee County
**
** similar 3 3.7 (2.1, 6.2) 0.7
**
Livingston County
**
** similar 4 3.9 (2.3, 6.3) 0.8
**
Montgomery County
**
** similar 4 5.8 (3.5, 9.1) 1.2
**
Schoharie County
**
** similar 3 6.2 (3.5, 10.7) 1.2
**
Tioga County
**
** similar 4 5.3 (3.3, 8.4) 1.1
**
Allegany County
**
**
*
3 or fewer
*
*
**
Chenango County
**
**
*
3 or fewer
*
*
**
Cortland County
**
**
*
3 or fewer
*
*
**
Essex County
**
**
*
3 or fewer
*
*
**
Franklin County
**
**
*
3 or fewer
*
*
**
Fulton County
**
**
*
3 or fewer
*
*
**
Hamilton County
**
**
*
3 or fewer
*
*
**
Herkimer County
**
**
*
3 or fewer
*
*
**
Lewis County
**
**
*
3 or fewer
*
*
**
Schuyler County
**
**
*
3 or fewer
*
*
**
Sullivan County
**
**
*
3 or fewer
*
*
**
Wyoming County
**
**
*
3 or fewer
*
*
**
Yates County
**
**
*
3 or fewer
*
*
**
Notes:
Created by statecancerprofiles.cancer.gov on 07/06/2025 10:21 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 5.3.0. 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, Essex County, Franklin County, Fulton County, Hamilton County, Herkimer County, Lewis County, Schuyler County, Sullivan County, Wyoming County, Yates County

Trend for the following could not be reliably determined due to small number of deaths per year:
Genesee County, Livingston County, Montgomery County, Schoharie County, Tioga 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.

Return to Top