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Death Rates Table

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Death Rate Report for New York by County

All Cancer Sites, 2016-2020

All Races (includes Hispanic), Both Sexes, Ages 50+

Sorted by Name
County
 sort alphabetically by name descending
Met Healthy People Objective of 122.7?
Age-Adjusted Death Rate
deaths per 100,000
(95% Confidence Interval)
 sort by rate descending
CI*Rank⋔
(95% Confidence Interval)
 sort by CI rank descending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Death Rates
(95% Confidence Interval)
 sort by trend descending
New York No 458.4 (456.2, 460.7) N/A 32,559 falling falling trend -3.2 (-3.8, -2.6)
United States No 501.7 (501.1, 502.3) N/A 569,776 falling falling trend -2.1 (-2.3, -1.8)
Albany County No 509.3 (490.6, 528.6) 36 (22, 50) 579 falling falling trend -1.3 (-1.5, -1.1)
Allegany County No 558.6 (510.9, 609.6) 12 (1, 49) 104 falling falling trend -1.8 (-2.2, -1.3)
Bronx County No 447.0 (437.9, 456.2) 56 (52, 56) 1,874 falling falling trend -5.2 (-7.9, -2.3)
Broome County No 506.9 (484.8, 529.8) 38 (21, 52) 409 falling falling trend -1.3 (-1.5, -1.1)
Cattaraugus County No 518.1 (482.8, 555.3) 33 (7, 54) 165 falling falling trend -1.2 (-1.5, -0.8)
Cayuga County No 512.4 (477.6, 549.1) 35 (9, 54) 166 falling falling trend -1.0 (-1.4, -0.6)
Chautauqua County No 539.3 (511.7, 567.9) 26 (5, 44) 296 falling falling trend -1.0 (-1.2, -0.7)
Chemung County No 595.8 (559.4, 633.9) 4 (1, 23) 206 falling falling trend -1.1 (-1.3, -0.8)
Chenango County No 544.9 (500.3, 592.4) 22 (1, 51) 113 falling falling trend -1.2 (-1.6, -0.9)
Clinton County No 563.2 (525.5, 602.8) 10 (1, 39) 171 falling falling trend -1.0 (-1.3, -0.6)
Columbia County No 485.4 (450.2, 522.7) 50 (21, 56) 144 falling falling trend -1.5 (-1.7, -1.3)
Cortland County No 532.0 (483.5, 584.1) 29 (2, 55) 90 falling falling trend -1.6 (-2.3, -1.0)
Delaware County No 514.3 (472.8, 558.4) 34 (5, 55) 117 falling falling trend -1.3 (-1.7, -0.9)
Dutchess County No 471.0 (453.3, 489.3) 53 (41, 56) 543 falling falling trend -2.0 (-2.2, -1.8)
Erie County No 547.1 (536.3, 558.1) 19 (9, 29) 1,991 falling falling trend -2.1 (-3.0, -1.2)
Essex County No 553.1 (505.8, 603.7) 17 (1, 50) 103 falling falling trend -1.5 (-2.0, -1.0)
Franklin County No 546.8 (499.7, 597.1) 20 (1, 52) 102 falling falling trend -1.5 (-1.9, -1.1)
Fulton County No 541.4 (498.6, 586.8) 25 (2, 51) 122 falling falling trend -1.2 (-1.6, -0.9)
Genesee County No 553.8 (512.0, 598.0) 16 (1, 48) 133 falling falling trend -1.1 (-1.5, -0.7)
Greene County No 566.8 (522.6, 613.7) 7 (1, 42) 125 falling falling trend -1.3 (-1.7, -0.8)
Hamilton County No 563.8 (444.1, 706.6) 8 (1, 62) 16 falling falling trend -1.4 (-2.4, -0.4)
Herkimer County No 487.6 (450.5, 526.8) 49 (17, 56) 132 falling falling trend -1.5 (-1.8, -1.1)
Jefferson County No 598.9 (561.8, 637.8) 3 (1, 25) 198 falling falling trend -1.0 (-1.3, -0.6)
Kings County No 413.5 (407.2, 420.0) 58 (56, 60) 3,286 falling falling trend -5.3 (-6.9, -3.6)
Lewis County No 496.2 (437.2, 560.9) 45 (4, 59) 53 falling falling trend -1.8 (-2.4, -1.2)
Livingston County No 544.8 (503.7, 588.3) 23 (2, 50) 134 stable stable trend -7.2 (-16.3, 3.0)
Madison County No 489.0 (452.7, 527.5) 47 (18, 56) 138 falling falling trend -2.2 (-2.7, -1.7)
Monroe County No 506.0 (494.2, 518.1) 39 (27, 48) 1,422 falling falling trend -1.5 (-1.7, -1.3)
Montgomery County No 547.8 (502.0, 596.7) 18 (1, 51) 110 falling falling trend -1.2 (-1.6, -0.7)
Nassau County No 416.2 (408.4, 424.1) 57 (56, 60) 2,261 falling falling trend -3.4 (-5.0, -1.7)
New York County No 383.1 (376.0, 390.3) 62 (60, 62) 2,247 falling falling trend -3.4 (-3.9, -2.9)
Niagara County No 562.3 (540.0, 585.3) 11 (3, 30) 495 falling falling trend -1.0 (-1.2, -0.9)
Oneida County No 542.8 (521.5, 564.7) 24 (7, 37) 506 falling falling trend -1.1 (-1.3, -0.9)
Onondaga County No 496.6 (481.6, 512.0) 44 (30, 52) 861 falling falling trend -3.1 (-4.0, -2.2)
Ontario County No 519.0 (489.9, 549.4) 32 (10, 52) 245 falling falling trend -1.5 (-1.8, -1.1)
Orange County No 498.1 (480.1, 516.6) 43 (27, 53) 595 falling falling trend -1.7 (-1.9, -1.6)
Orleans County No 602.6 (549.0, 659.9) 2 (1, 32) 96 falling falling trend -0.8 (-1.3, -0.3)
Oswego County No 558.4 (526.3, 591.8) 13 (2, 37) 236 falling falling trend -1.2 (-1.4, -0.9)
Otsego County No 494.8 (457.2, 534.6) 46 (14, 56) 132 falling falling trend -1.2 (-1.6, -0.7)
Putnam County No 473.9 (442.8, 506.7) 51 (30, 56) 178 falling falling trend -2.1 (-2.5, -1.8)
Queens County No 384.2 (378.0, 390.4) 61 (60, 62) 3,080 falling falling trend -5.3 (-7.2, -3.4)
Rensselaer County No 526.7 (500.4, 554.0) 30 (8, 48) 312 falling falling trend -2.0 (-2.5, -1.6)
Richmond County No 488.7 (473.6, 504.1) 48 (33, 54) 824 falling falling trend -1.8 (-1.9, -1.6)
Rockland County No 399.1 (382.7, 416.1) 60 (57, 62) 451 falling falling trend -2.2 (-2.4, -2.0)
Saratoga County No 505.2 (484.2, 526.8) 40 (22, 52) 449 falling falling trend -1.3 (-1.5, -1.1)
Schenectady County No 508.6 (482.9, 535.4) 37 (16, 54) 305 falling falling trend -1.3 (-1.5, -1.0)
Schoharie County No 504.8 (453.1, 560.7) 41 (5, 56) 72 falling falling trend -1.5 (-2.0, -1.1)
Schuyler County No 603.0 (528.1, 685.6) 1 (1, 46) 48 falling falling trend -0.8 (-1.5, -0.1)
Seneca County No 537.2 (483.7, 595.1) 28 (1, 55) 76 falling falling trend -1.2 (-1.8, -0.7)
St. Lawrence County No 537.9 (506.3, 571.0) 27 (5, 48) 221 falling falling trend -1.4 (-1.7, -1.1)
Steuben County No 557.3 (524.7, 591.4) 14 (2, 39) 223 falling falling trend -1.1 (-1.4, -0.9)
Suffolk County No 470.7 (462.6, 478.9) 54 (46, 55) 2,628 falling falling trend -2.7 (-3.6, -1.8)
Sullivan County No 557.0 (519.3, 596.8) 15 (1, 42) 167 falling falling trend -1.7 (-2.0, -1.4)
Tioga County No 465.6 (425.1, 508.8) 55 (24, 59) 99 falling falling trend -1.9 (-2.2, -1.5)
Tompkins County No 472.4 (438.0, 508.7) 52 (28, 57) 146 falling falling trend -1.5 (-1.8, -1.2)
Ulster County No 503.9 (481.2, 527.5) 42 (21, 53) 380 falling falling trend -1.6 (-1.9, -1.4)
Warren County No 545.2 (508.0, 584.3) 21 (3, 48) 164 falling falling trend -1.0 (-1.3, -0.6)
Washington County No 586.6 (545.1, 630.3) 5 (1, 32) 152 falling falling trend -1.2 (-1.5, -0.9)
Wayne County No 563.7 (529.3, 599.7) 9 (1, 37) 207 falling falling trend -1.0 (-1.3, -0.8)
Westchester County No 403.5 (394.3, 412.8) 59 (57, 60) 1,520 falling falling trend -2.2 (-2.4, -2.0)
Wyoming County No 567.9 (514.6, 625.2) 6 (1, 49) 86 falling falling trend -0.7 (-1.1, -0.3)
Yates County No 526.0 (465.1, 592.8) 31 (1, 56) 56 falling falling trend -1.3 (-1.8, -0.9)
Notes:
Created by statecancerprofiles.cancer.gov on 11/29/2022 3:45 am.

State Cancer Registries may provide more current or more local data.
Trend
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.

† 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 2030 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.
‡ The Average Annual Percent Change (AAPC) is based on the APCs calculated by Joinpoint. Due to data availability issues, the time period used in the calculation of the joinpoint regression model may differ for selected counties.
⋔ Results presented with the CI*Rank statistics help show the usefulness of ranks. For example, ranks for relatively rare diseases or less populated areas may be essentially meaningless because of their large variability, but ranks for more common diseases in densely populated regions can be very useful. More information about methodology can be found on the CI*Rank website.

Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.



Please note that the data comes from different sources. Due to different years of data availability, most of the trends are AAPCs based on APCs but some are APCs calculated in SEER*Stat. Please refer to the source for each graph for additional information.

Interpret Rankings provides insight into interpreting cancer incidence 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.

When displaying county information, the CI*Rank for the state is not shown because it's not comparable. To see the state CI*Rank please view the statistics at the US By State level.

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