Death Rates Table
County
|
Met Healthy People Objective of ***? |
Age-Adjusted Death Rate† deaths per 100,000 (95% Confidence Interval) 
|
CI*Rank⋔ (95% Confidence Interval) 
|
Average Annual Count
|
Recent Trend |
Recent 5-Year Trend‡ in Death Rates (95% Confidence Interval)
|
|---|---|---|---|---|---|---|
| New York | *** | 4.8 (4.7, 5.0) | N/A | 1,200 |
falling 
|
-4.9 (-8.1, -1.7) |
| United States | *** | 5.1 (5.1, 5.2) | N/A | 20,291 |
falling
|
-2.2 (-2.3, -2.1) |
| Seneca County | *** | 7.8 (4.6, 12.6) | 1 (1, 53) | 4 |
stable 
|
-0.8 (-2.7, 1.0) |
| Schoharie County | *** | 7.3 (4.2, 12.2) | 2 (1, 53) | 4 |
|
|
| Otsego County | *** | 7.2 (4.7, 10.6) | 3 (1, 52) | 6 |
stable
|
-1.3 (-2.8, 0.1) |
| Oneida County | *** | 7.1 (5.8, 8.7) | 4 (1, 30) | 22 |
stable
|
-0.8 (-1.9, 0.3) |
| Chemung County | *** | 7.1 (5.1, 9.7) | 5 (1, 47) | 9 |
stable
|
-0.3 (-1.6, 1.1) |
| Orleans County | *** | 6.8 (4.1, 10.9) | 6 (1, 53) | 4 |
stable
|
-1.3 (-3.0, 0.4) |
| Putnam County | *** | 6.7 (4.9, 9.2) | 7 (1, 50) | 9 |
falling
|
-2.0 (-3.0, -0.9) |
| Clinton County | *** | 6.6 (4.5, 9.3) | 8 (1, 52) | 7 |
stable
|
-0.7 (-2.6, 1.1) |
| Madison County | *** | 6.6 (4.4, 9.5) | 9 (1, 52) | 6 |
stable
|
0.1 (-1.7, 1.9) |
| Columbia County | *** | 6.5 (4.4, 9.3) | 10 (1, 53) | 7 |
stable
|
-0.4 (-1.8, 1.0) |
| Ontario County | *** | 6.4 (4.7, 8.5) | 11 (1, 49) | 10 |
stable
|
-1.4 (-2.8, 0.0) |
| Greene County | *** | 6.3 (4.0, 9.8) | 12 (1, 53) | 5 |
stable
|
-1.7 (-3.7, 0.4) |
| Rensselaer County | *** | 6.3 (4.7, 8.1) | 13 (1, 48) | 12 |
stable
|
-1.0 (-2.3, 0.4) |
| Saratoga County | *** | 6.1 (4.9, 7.5) | 14 (1, 44) | 19 |
falling
|
-1.5 (-2.4, -0.5) |
| Cayuga County | *** | 6.0 (4.2, 8.6) | 15 (1, 52) | 7 |
falling
|
-1.9 (-3.4, -0.4) |
| Franklin County | *** | 6.0 (3.6, 9.6) | 16 (1, 53) | 4 |
|
|
| Washington County | *** | 6.0 (3.8, 9.0) | 17 (1, 53) | 5 |
stable
|
-1.7 (-3.4, 0.1) |
| Chautauqua County | *** | 5.9 (4.5, 7.8) | 18 (2, 51) | 11 |
stable
|
-0.7 (-1.7, 0.3) |
| Erie County | *** | 5.8 (5.2, 6.4) | 19 (7, 35) | 74 |
falling
|
-1.9 (-2.3, -1.5) |
| Cattaraugus County | *** | 5.8 (3.9, 8.3) | 20 (1, 53) | 7 |
stable
|
0.1 (-1.7, 1.9) |
| Monroe County | *** | 5.7 (5.0, 6.4) | 21 (7, 38) | 56 |
falling
|
-1.8 (-2.4, -1.3) |
| Steuben County | *** | 5.6 (3.9, 7.9) | 22 (1, 53) | 7 |
stable
|
-1.1 (-2.5, 0.2) |
| Essex County | *** | 5.6 (3.3, 9.3) | 23 (1, 53) | 4 |
falling
|
-2.8 (-4.5, -1.0) |
| Wayne County | *** | 5.5 (3.8, 7.8) | 24 (2, 53) | 7 |
falling
|
-2.6 (-4.0, -1.2) |
| Niagara County | *** | 5.4 (4.3, 6.8) | 25 (4, 51) | 17 |
falling
|
-2.1 (-3.1, -1.2) |
| Tioga County | *** | 5.4 (3.4, 8.5) | 26 (1, 53) | 4 |
|
|
| Warren County | *** | 5.4 (3.5, 8.2) | 27 (1, 53) | 5 |
stable
|
-1.3 (-3.1, 0.6) |
| Delaware County | *** | 5.4 (3.4, 8.7) | 28 (1, 53) | 4 |
stable
|
-1.5 (-3.5, 0.6) |
| Ulster County | *** | 5.3 (4.1, 6.8) | 29 (5, 52) | 14 |
falling
|
-2.0 (-2.9, -1.0) |
| Broome County | *** | 5.2 (4.0, 6.6) | 30 (6, 52) | 15 |
falling
|
-2.4 (-3.4, -1.3) |
| Orange County | *** | 5.2 (4.2, 6.3) | 31 (8, 51) | 22 |
falling
|
-2.5 (-3.3, -1.7) |
| Allegany County | *** | 5.2 (2.9, 8.8) | 32 (1, 53) | 3 |
falling
|
-3.3 (-5.3, -1.2) |
| Nassau County | *** | 5.2 (4.7, 5.7) | 33 (15, 43) | 98 |
falling
|
-1.5 (-2.4, -0.6) |
| Chenango County | *** | 5.1 (2.9, 8.5) | 34 (1, 53) | 3 |
falling
|
-2.3 (-4.1, -0.4) |
| Oswego County | *** | 5.1 (3.5, 7.1) | 35 (3, 53) | 7 |
falling
|
-1.7 (-3.2, -0.2) |
| Dutchess County | *** | 4.9 (3.9, 6.0) | 36 (11, 52) | 19 |
falling
|
-2.9 (-3.8, -2.0) |
| Albany County | *** | 4.8 (3.9, 5.9) | 37 (12, 53) | 19 |
falling
|
-2.1 (-2.9, -1.3) |
| Tompkins County | *** | 4.8 (3.1, 7.1) | 38 (3, 53) | 5 |
stable
|
-1.2 (-2.5, 0.2) |
| Schenectady County | *** | 4.7 (3.5, 6.3) | 39 (8, 53) | 11 |
falling
|
-2.7 (-3.8, -1.7) |
| Montgomery County | *** | 4.7 (2.7, 7.8) | 40 (2, 53) | 3 |
|
|
| Suffolk County | *** | 4.7 (4.3, 5.1) | 41 (24, 49) | 92 |
falling
|
-2.5 (-3.0, -2.0) |
| Bronx County | *** | 4.6 (4.1, 5.2) | 42 (23, 50) | 68 |
falling
|
-1.9 (-2.5, -1.2) |
| Richmond County | *** | 4.6 (3.9, 5.5) | 43 (17, 52) | 27 |
falling
|
-2.5 (-3.2, -1.7) |
| Jefferson County | *** | 4.6 (3.0, 6.8) | 44 (4, 53) | 5 |
falling
|
-2.9 (-4.4, -1.3) |
| Rockland County | *** | 4.4 (3.5, 5.4) | 45 (17, 53) | 17 |
falling
|
-3.4 (-4.4, -2.5) |
| Westchester County | *** | 4.4 (3.9, 4.9) | 46 (28, 52) | 60 |
falling
|
-3.5 (-4.2, -2.8) |
| Onondaga County | *** | 4.3 (3.6, 5.1) | 47 (23, 53) | 26 |
falling
|
-2.3 (-3.2, -1.4) |
| New York County | *** | 4.2 (3.8, 4.7) | 48 (32, 52) | 88 |
falling
|
-2.7 (-4.6, -0.8) |
| St. Lawrence County | *** | 4.2 (2.8, 6.1) | 49 (8, 53) | 6 |
falling
|
-2.0 (-3.3, -0.6) |
| Queens County | *** | 4.2 (3.8, 4.5) | 50 (35, 53) | 117 |
falling
|
-9.2 (-16.6, -1.2) |
| Kings County | *** | 4.1 (3.7, 4.4) | 51 (35, 53) | 114 |
falling
|
-2.3 (-3.0, -1.5) |
| Livingston County | *** | 3.9 (2.3, 6.4) | 52 (7, 53) | 4 |
|
|
| Genesee County | *** | 3.7 (2.1, 6.3) | 53 (8, 53) | 3 |
|
|
| Cortland County | *** |
|
|
|
|
|
| Fulton County | *** |
|
|
|
|
|
| Hamilton County | *** |
|
|
|
|
|
| Herkimer County | *** |
|
|
|
|
|
| Lewis County | *** |
|
|
|
|
|
| Schuyler County | *** |
|
|
|
|
|
| Sullivan County | *** |
|
|
|
|
|
| Wyoming County | *** |
|
|
|
|
|
| Yates County | *** |
|
|
|
|
|
Notes:
Created by statecancerprofiles.cancer.gov on 06/08/2023 12:34 pm.
State Cancer Registries may provide more current or more local data.
† 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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
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.
Created by statecancerprofiles.cancer.gov on 06/08/2023 12:34 pm.
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.
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.
* Data has been suppressed to ensure confidentiality and stability of rate estimates. Counts are suppressed if fewer than 16 records were reported in a specific area-sex-race category. If an average count of 3 is shown, the total number of cases for the time period is 16 or more which exceeds suppression threshold (but is rounded to 3).
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.