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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

Non-Hodgkin Lymphoma

All Races, Both Sexes

Sorted by count
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 ascending
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 - 20,291 5.1 (5.1, 5.2) - -2.2 (-2.3, -2.1)
New York - falling falling trend - 1,200 4.8 (4.7, 5.0) - -4.9 (-8.1, -1.7)
Queens County 9 falling falling trend lower 117 4.2 (3.8, 4.5) 0.8 -9.2 (-16.6, -1.2)
Kings County 9 falling falling trend lower 114 4.1 (3.7, 4.4) 0.8 -2.3 (-3.0, -1.5)
Nassau County 8 falling falling trend similar 98 5.2 (4.7, 5.7) 1.0 -1.5 (-2.4, -0.6)
Suffolk County 8 falling falling trend similar 92 4.7 (4.3, 5.1) 0.9 -2.5 (-3.0, -2.0)
New York County 9 falling falling trend lower 88 4.2 (3.8, 4.7) 0.8 -2.7 (-4.6, -0.8)
Erie County 5 falling falling trend higher 74 5.8 (5.2, 6.4) 1.1 -1.9 (-2.3, -1.5)
Bronx County 8 falling falling trend similar 68 4.6 (4.1, 5.2) 0.9 -1.9 (-2.5, -1.2)
Westchester County 9 falling falling trend lower 60 4.4 (3.9, 4.9) 0.8 -3.5 (-4.2, -2.8)
Monroe County 8 falling falling trend similar 56 5.7 (5.0, 6.4) 1.1 -1.8 (-2.4, -1.3)
Richmond County 8 falling falling trend similar 27 4.6 (3.9, 5.5) 0.9 -2.5 (-3.2, -1.7)
Onondaga County 9 falling falling trend lower 26 4.3 (3.6, 5.1) 0.8 -2.3 (-3.2, -1.4)
Oneida County 4 stable stable trend higher 22 7.1 (5.8, 8.7) 1.4 -0.8 (-1.9, 0.3)
Orange County 8 falling falling trend similar 22 5.2 (4.2, 6.3) 1.0 -2.5 (-3.3, -1.7)
Dutchess County 8 falling falling trend similar 19 4.9 (3.9, 6.0) 0.9 -2.9 (-3.8, -2.0)
Albany County 8 falling falling trend similar 19 4.8 (3.9, 5.9) 0.9 -2.1 (-2.9, -1.3)
Saratoga County 8 falling falling trend similar 19 6.1 (4.9, 7.5) 1.2 -1.5 (-2.4, -0.5)
Rockland County 8 falling falling trend similar 17 4.4 (3.5, 5.4) 0.9 -3.4 (-4.4, -2.5)
Niagara County 8 falling falling trend similar 17 5.4 (4.3, 6.8) 1.1 -2.1 (-3.1, -1.2)
Broome County 8 falling falling trend similar 15 5.2 (4.0, 6.6) 1.0 -2.4 (-3.4, -1.3)
Ulster County 8 falling falling trend similar 14 5.3 (4.1, 6.8) 1.0 -2.0 (-2.9, -1.0)
Rensselaer County 6 stable stable trend similar 12 6.3 (4.7, 8.1) 1.2 -1.0 (-2.3, 0.4)
Chautauqua County 6 stable stable trend similar 11 5.9 (4.5, 7.8) 1.1 -0.7 (-1.7, 0.3)
Schenectady County 8 falling falling trend similar 11 4.7 (3.5, 6.3) 0.9 -2.7 (-3.8, -1.7)
Ontario County 8 falling falling trend similar 10 6.4 (4.7, 8.5) 1.2 -1.4 (-2.8, 0.0)
Putnam County 8 falling falling trend similar 9 6.7 (4.9, 9.2) 1.3 -2.0 (-3.0, -0.9)
Chemung County 6 stable stable trend similar 9 7.1 (5.1, 9.7) 1.4 -0.3 (-1.6, 1.1)
Steuben County 6 stable stable trend similar 7 5.6 (3.9, 7.9) 1.1 -1.1 (-2.5, 0.2)
Cayuga County 8 falling falling trend similar 7 6.0 (4.2, 8.6) 1.2 -1.9 (-3.4, -0.4)
Oswego County 8 falling falling trend similar 7 5.1 (3.5, 7.1) 1.0 -1.7 (-3.2, -0.2)
Clinton County 6 stable stable trend similar 7 6.6 (4.5, 9.3) 1.3 -0.7 (-2.6, 1.1)
Columbia County 6 stable stable trend similar 7 6.5 (4.4, 9.3) 1.3 -0.4 (-1.8, 1.0)
Wayne County 8 falling falling trend similar 7 5.5 (3.8, 7.8) 1.1 -2.6 (-4.0, -1.2)
Cattaraugus County 6 stable stable trend similar 7 5.8 (3.9, 8.3) 1.1 0.1 (-1.7, 1.9)
Otsego County 6 stable stable trend similar 6 7.2 (4.7, 10.6) 1.4 -1.3 (-2.8, 0.1)
Madison County 6 stable stable trend similar 6 6.6 (4.4, 9.5) 1.3 0.1 (-1.7, 1.9)
St. Lawrence County 8 falling falling trend similar 6 4.2 (2.8, 6.1) 0.8 -2.0 (-3.3, -0.6)
Warren County 6 stable stable trend similar 5 5.4 (3.5, 8.2) 1.1 -1.3 (-3.1, 0.6)
Jefferson County 8 falling falling trend similar 5 4.6 (3.0, 6.8) 0.9 -2.9 (-4.4, -1.3)
Tompkins County 6 stable stable trend similar 5 4.8 (3.1, 7.1) 0.9 -1.2 (-2.5, 0.2)
Washington County 6 stable stable trend similar 5 6.0 (3.8, 9.0) 1.2 -1.7 (-3.4, 0.1)
Greene County 6 stable stable trend similar 5 6.3 (4.0, 9.8) 1.2 -1.7 (-3.7, 0.4)
Delaware County 6 stable stable trend similar 4 5.4 (3.4, 8.7) 1.1 -1.5 (-3.5, 0.6)
Orleans County 6 stable stable trend similar 4 6.8 (4.1, 10.9) 1.3 -1.3 (-3.0, 0.4)
Essex County 8 falling falling trend similar 4 5.6 (3.3, 9.3) 1.1 -2.8 (-4.5, -1.0)
Seneca County 6 stable stable trend similar 4 7.8 (4.6, 12.6) 1.5 -0.8 (-2.7, 1.0)
Chenango County 8 falling falling trend similar 3 5.1 (2.9, 8.5) 1.0 -2.3 (-4.1, -0.4)
Allegany County 8 falling falling trend similar 3 5.2 (2.9, 8.8) 1.0 -3.3 (-5.3, -1.2)
Franklin County
**
** similar 4 6.0 (3.6, 9.6) 1.2
**
Genesee County
**
** similar 3 3.7 (2.1, 6.3) 0.7
**
Livingston County
**
** similar 4 3.9 (2.3, 6.4) 0.8
**
Montgomery County
**
** similar 3 4.7 (2.7, 7.8) 0.9
**
Schoharie County
**
** similar 4 7.3 (4.2, 12.2) 1.4
**
Tioga County
**
** similar 4 5.4 (3.4, 8.5) 1.1
**
Cortland 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 04/19/2024 2:10 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:
Cortland 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:
Franklin County, 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.

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