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Incidence Rates Table

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Incidence Rate Report for New York by County

All Cancer Sites (All Stages^), 2012-2016

All Races (includes Hispanic), Female, All Ages

Sorted by Rate
County
 sort alphabetically by name ascending
Met Healthy People Objective of ***?
Age-Adjusted Incidence Rate
cases per 100,000
(95% Confidence Interval)
 sort by rate ascending
Average Annual Count
 sort by count descending
Recent Trend
Recent 5-Year Trend in Incidence Rates
(95% Confidence Interval)
 sort by trend descending
New York 7,8 *** 452.4 (450.7, 454.1) 56,389 stable stable trend 0.2 (0.0, 0.3)
US (SEER+NPCR) 1,10 *** 420.9 (420.5, 421.3) 813,914 stable stable trend -0.4 (-1.3, 0.6)
Hamilton County 7,8 *** 592.5 (479.6, 730.2) 24 stable stable trend 1.0 (-1.4, 3.5)
Warren County 7,8 *** 533.8 (503.1, 566.0) 257 stable stable trend 0.7 (-0.5, 2.0)
Wyoming County 7,8 *** 531.8 (490.3, 576.1) 131 stable stable trend 1.2 (-0.1, 2.5)
Chenango County 7,8 *** 529.9 (493.9, 568.1) 179 rising rising trend 1.4 (0.6, 2.3)
Fulton County 7,8 *** 515.9 (482.5, 551.2) 196 stable stable trend 0.2 (-0.5, 0.9)
Oswego County 7,8 *** 509.4 (485.8, 534.0) 370 stable stable trend 0.4 (-0.2, 1.0)
Erie County 7,8 *** 507.4 (499.2, 515.8) 3,196 rising rising trend 0.9 (0.7, 1.2)
Greene County 7,8 *** 505.6 (470.4, 543.1) 173 stable stable trend 0.3 (-0.6, 1.2)
Schuyler County 7,8 *** 501.5 (446.5, 562.2) 66 stable stable trend 0.2 (-1.4, 1.8)
Jefferson County 7,8 *** 501.0 (475.2, 527.9) 296 rising rising trend 1.0 (0.3, 1.7)
Rensselaer County 7,8 *** 500.4 (480.5, 520.8) 515 stable stable trend 0.2 (-0.2, 0.7)
Montgomery County 7,8 *** 500.4 (466.0, 536.8) 174 stable stable trend 0.0 (-0.9, 1.0)
Wayne County 7,8 *** 498.5 (472.7, 525.4) 304 stable stable trend 0.7 (-0.2, 1.5)
Seneca County 7,8 *** 498.2 (455.5, 544.0) 112 stable stable trend 0.6 (-0.4, 1.7)
Putnam County 7,8 *** 498.0 (472.7, 524.4) 315 stable stable trend -0.5 (-1.2, 0.1)
Richmond County 7,8 *** 496.1 (484.5, 507.8) 1,483 rising rising trend 0.8 (0.5, 1.1)
Genesee County 7,8 *** 495.1 (463.7, 528.3) 200 stable stable trend 0.2 (-0.6, 1.1)
Cattaraugus County 7,8 *** 494.6 (466.7, 523.8) 259 stable stable trend 0.5 (-0.1, 1.2)
Suffolk County 7,8 *** 493.5 (487.0, 500.0) 4,753 stable stable trend -0.5 (-1.1, 0.0)
Saratoga County 7,8 *** 493.1 (476.7, 510.0) 727 stable stable trend 0.2 (-0.3, 0.7)
Yates County 7,8 *** 492.5 (442.7, 546.6) 82 stable stable trend 0.9 (-0.1, 1.9)
Albany County 7,8 *** 490.7 (476.4, 505.4) 967 rising rising trend 0.8 (0.3, 1.3)
Niagara County 7,8 *** 488.5 (472.0, 505.5) 726 stable stable trend 0.2 (-0.2, 0.5)
Orange County 7,8 *** 486.2 (472.7, 500.0) 1,022 stable stable trend 0.0 (-0.3, 0.4)
Lewis County 7,8 *** 483.3 (436.1, 534.5) 83 stable stable trend 1.1 (-0.6, 2.9)
Orleans County 7,8 *** 481.8 (444.6, 521.5) 132 stable stable trend 0.2 (-0.8, 1.3)
Nassau County 7,8 *** 481.4 (474.9, 488.1) 4,471 stable stable trend 0.1 (-0.1, 0.4)
Broome County 7,8 *** 480.9 (463.3, 499.0) 639 rising rising trend 0.7 (0.3, 1.1)
Chautauqua County 7,8 *** 480.0 (458.7, 502.1) 432 rising rising trend 0.5 (0.1, 1.0)
Herkimer County 7,8 *** 479.9 (450.2, 511.2) 216 stable stable trend 0.5 (-0.2, 1.3)
Onondaga County 7,8 *** 479.3 (468.0, 490.9) 1,458 stable stable trend 0.3 (-0.1, 0.6)
Schenectady County 7,8 *** 478.8 (459.3, 498.9) 492 stable stable trend 0.5 (-0.2, 1.3)
Cortland County 7,8 *** 478.6 (442.3, 517.3) 140 stable stable trend 0.1 (-0.7, 1.0)
Chemung County 7,8 *** 476.4 (450.5, 503.4) 280 stable stable trend -0.1 (-1.1, 0.9)
Oneida County 7,8 *** 475.8 (459.8, 492.3) 741 stable stable trend 0.0 (-0.4, 0.5)
Ontario County 7,8 *** 474.4 (451.6, 498.0) 362 stable stable trend 0.5 (-0.1, 1.2)
Columbia County 7,8 *** 472.8 (443.3, 503.9) 220 stable stable trend 0.5 (-0.1, 1.0)
Otsego County 7,8 *** 470.7 (439.7, 503.4) 200 stable stable trend 0.5 (-0.5, 1.6)
Monroe County 7,8 *** 470.4 (461.5, 479.4) 2,280 stable stable trend 0.3 (0.0, 0.7)
Delaware County 7,8 *** 469.8 (435.5, 506.3) 164 stable stable trend -0.1 (-1.3, 1.0)
Clinton County 7,8 *** 469.0 (441.6, 497.8) 235 stable stable trend 0.3 (-0.6, 1.1)
Cayuga County 7,8 *** 465.5 (438.3, 494.0) 244 stable stable trend -0.3 (-1.1, 0.6)
Madison County 7,8 *** 462.7 (434.2, 492.6) 214 stable stable trend 0.0 (-0.7, 0.8)
Washington County 7,8 *** 461.7 (431.6, 493.5) 192 stable stable trend 0.2 (-0.6, 1.1)
Essex County 7,8 *** 458.7 (422.1, 498.1) 132 stable stable trend -0.3 (-1.2, 0.7)
Dutchess County 7,8 *** 457.8 (443.9, 472.0) 880 stable stable trend 0.1 (-0.4, 0.7)
Rockland County 7,8 *** 453.4 (439.8, 467.4) 890 stable stable trend -0.3 (-0.6, 0.0)
Ulster County 7,8 *** 452.4 (435.0, 470.4) 561 stable stable trend -0.4 (-0.8, 0.1)
Westchester County 7,8 *** 451.7 (444.2, 459.3) 2,921 stable stable trend -0.1 (-0.4, 0.1)
Tioga County 7,8 *** 447.5 (414.9, 482.1) 153 stable stable trend 0.2 (-1.0, 1.3)
Allegany County 7,8 *** 444.9 (410.6, 481.4) 137 stable stable trend 0.0 (-0.9, 1.0)
Sullivan County 7,8 *** 443.5 (416.4, 472.1) 216 falling falling trend -0.8 (-1.6, -0.1)
Livingston County 7,8 *** 442.3 (412.5, 473.9) 181 stable stable trend -0.5 (-1.5, 0.6)
Tompkins County 7,8 *** 435.7 (410.2, 462.5) 236 stable stable trend 0.2 (-0.6, 1.0)
Steuben County 7,8 *** 434.7 (411.5, 459.0) 288 stable stable trend -0.7 (-1.4, 0.0)
St. Lawrence County 7,8 *** 428.1 (405.6, 451.5) 293 falling falling trend -1.0 (-1.6, -0.4)
New York County 7,8 *** 425.2 (419.5, 431.1) 4,396 stable stable trend -0.2 (-0.4, 0.1)
Schoharie County 7,8 *** 419.4 (380.8, 461.3) 95 stable stable trend -0.6 (-2.0, 0.8)
Kings County 7,8 *** 412.6 (408.0, 417.3) 6,221 stable stable trend -0.5 (-1.3, 0.2)
Franklin County 7,8 *** 406.4 (373.8, 441.2) 123 falling falling trend -1.4 (-2.7, -0.2)
Bronx County 7,8 *** 399.4 (393.2, 405.7) 3,222 stable stable trend 0.0 (-0.3, 0.2)
Queens County 7,8 *** 397.4 (392.7, 402.2) 5,711 stable stable trend -0.4 (-0.9, 0.1)
Notes:
Created by statecancerprofiles.cancer.gov on 05/27/2020 10:35 pm.

*** No Healthy People 2020 Objective for this cancer.

State Cancer Registries may provide more current or more local data.
† Incidence rates (cases per 100,000 population per year) are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84, 85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Rates calculated using SEER*Stat. Population counts for denominators are based on Census populations as modified by NCI. The 1969-2016 US Population Data File is used for SEER and NPCR incidence rates.
‡ Incidence data come 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 area for additional information.

Rates and trends are computed using different standards for malignancy. For more information see malignant.html.

^ All Stages refers to any stage in the Surveillance, Epidemiology, and End Results (SEER) summary stage.
Healthy People 2020 Objectives provided by the Centers for Disease Control and Prevention.

Health Service Areas are a single county or cluster of contiguous counties which are relatively self-contained with respect to hospital care. For more detailed information, please see Health Service Area information page.

1 Source: CDC's National Program of Cancer Registries Cancer Surveillance System (NPCR-CSS) November 2018 data submission and SEER November 2018 submission as published in United States Cancer Statistics.
7 Source: SEER November 2018 submission.
8 Source: Incidence data provided by the SEER Program. AAPCs are calculated by the Joinpoint Regression Program and are based on APCs. Data are age-adjusted to the 2000 US standard population (19 age groups: <1, 1-4, 5-9, ... , 80-84,85+). Rates are for invasive cancer only (except for bladder cancer which is invasive and in situ) or unless otherwise specified. Population counts for denominators are based on Census populations as modifed by NCI. The 1969-2017 US Population Data File is used with SEER November 2018 data.

Please note that the data comes from different sources. Due to different years of data availablility, 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.

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