Death Rates Table
County
|
2023 Rural-Urban Continuum Codes Φ
|
Met Healthy People Objective of 122.7? |
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 | N/A | No | 127.7 (127.0, 128.3) | N/A | 33,269 |
falling 
|
-2.7 (-2.9, -2.5) |
| United States | N/A | No | 146.0 (145.8, 146.2) | N/A | 602,955 |
falling
|
-1.5 (-1.6, -1.4) |
| Albany County | Urban | No | 141.8 (136.6, 147.1) | 44 (28, 52) | 593 |
falling
|
-1.5 (-3.3, -1.3) |
| Bronx County | Urban | No | 122.8 (120.3, 125.3) | 56 (53, 57) | 1,896 |
falling
|
-4.5 (-6.5, -3.3) |
| Broome County | Urban | No | 149.1 (142.6, 155.7) | 34 (16, 48) | 440 |
falling
|
-1.4 (-1.6, -1.1) |
| Chemung County | Urban | No | 179.6 (168.8, 190.9) | 3 (1, 15) | 219 |
falling
|
-1.0 (-1.3, -0.7) |
| Dutchess County | Urban | No | 138.6 (133.5, 143.9) | 50 (34, 53) | 580 |
falling
|
-2.0 (-2.3, -1.8) |
| Erie County | Urban | No | 152.0 (149.0, 155.1) | 28 (18, 37) | 2,012 |
falling
|
-2.4 (-3.7, -1.8) |
| Herkimer County | Urban | No | 142.2 (131.2, 153.9) | 41 (15, 55) | 133 |
falling
|
-1.4 (-1.8, -1.0) |
| Jefferson County | Urban | No | 164.2 (154.2, 174.7) | 11 (2, 34) | 208 |
falling
|
-1.2 (-1.5, -0.8) |
| Kings County | Urban | Yes | 109.3 (107.7, 111.1) | 60 (57, 60) | 3,285 |
falling
|
-4.1 (-4.7, -3.7) |
| Livingston County | Urban | No | 153.3 (141.5, 165.9) | 26 (5, 52) | 134 |
falling
|
-1.9 (-4.8, -1.4) |
| Madison County | Urban | No | 146.0 (135.1, 157.6) | 38 (11, 53) | 141 |
falling
|
-1.9 (-4.7, -1.4) |
| Monroe County | Urban | No | 143.8 (140.4, 147.2) | 39 (30, 49) | 1,463 |
falling
|
-1.7 (-2.3, -1.5) |
| Nassau County | Urban | Yes | 119.2 (117.0, 121.5) | 57 (54, 58) | 2,321 |
falling
|
-2.0 (-2.1, -1.9) |
| New York County | Urban | Yes | 104.2 (102.3, 106.2) | 61 (60, 62) | 2,260 |
falling
|
-3.5 (-4.0, -3.1) |
| Niagara County | Urban | No | 163.1 (156.6, 169.8) | 13 (4, 28) | 507 |
falling
|
-1.2 (-2.5, -1.0) |
| Oneida County | Urban | No | 155.5 (149.4, 161.8) | 20 (10, 37) | 517 |
falling
|
-1.1 (-1.3, -0.9) |
| Onondaga County | Urban | No | 139.7 (135.6, 144.0) | 49 (35, 53) | 894 |
stable 
|
-1.3 (-3.4, 0.8) |
| Ontario County | Urban | No | 140.2 (132.2, 148.7) | 48 (25, 54) | 243 |
falling
|
-1.6 (-1.9, -1.3) |
| Orange County | Urban | No | 141.2 (136.3, 146.4) | 45 (30, 52) | 628 |
falling
|
-1.9 (-4.1, -1.8) |
| Orleans County | Urban | No | 180.3 (164.4, 197.6) | 2 (1, 22) | 99 |
falling
|
-0.7 (-1.3, -0.2) |
| Oswego County | Urban | No | 166.0 (156.6, 175.7) | 8 (2, 30) | 252 |
falling
|
-1.1 (-1.4, -0.8) |
| Putnam County | Urban | No | 129.0 (120.4, 138.1) | 54 (41, 57) | 175 |
falling
|
-2.2 (-2.5, -1.8) |
| Queens County | Urban | Yes | 103.7 (102.1, 105.4) | 62 (60, 62) | 3,120 |
falling
|
-3.8 (-4.6, -3.2) |
| Rensselaer County | Urban | No | 156.1 (148.5, 164.0) | 19 (7, 40) | 334 |
falling
|
-1.8 (-2.7, -1.5) |
| Richmond County | Urban | No | 136.2 (132.0, 140.4) | 52 (40, 54) | 849 |
falling
|
-1.9 (-2.0, -1.8) |
| Rockland County | Urban | Yes | 112.9 (108.3, 117.7) | 58 (56, 60) | 463 |
falling
|
-2.4 (-4.0, -2.0) |
| Saratoga County | Urban | No | 141.8 (136.0, 147.8) | 42 (28, 52) | 472 |
falling
|
-2.4 (-4.9, -1.5) |
| Schenectady County | Urban | No | 146.0 (138.7, 153.7) | 37 (18, 52) | 312 |
falling
|
-1.4 (-1.6, -1.1) |
| Schoharie County | Urban | No | 165.3 (149.1, 183.2) | 10 (1, 45) | 81 |
falling
|
-1.3 (-1.7, -0.9) |
| Suffolk County | Urban | No | 130.7 (128.4, 132.9) | 53 (50, 55) | 2,679 |
falling
|
-2.4 (-3.5, -2.2) |
| Tioga County | Urban | No | 141.8 (129.8, 154.8) | 43 (14, 55) | 109 |
falling
|
-1.8 (-2.1, -1.4) |
| Tompkins County | Urban | No | 124.9 (115.7, 134.6) | 55 (45, 59) | 146 |
falling
|
-1.6 (-2.0, -1.3) |
| Ulster County | Urban | No | 140.8 (134.4, 147.5) | 46 (28, 53) | 387 |
falling
|
-1.7 (-2.0, -1.5) |
| Warren County | Urban | No | 150.7 (140.0, 162.0) | 32 (8, 52) | 161 |
falling
|
-1.5 (-6.0, -1.0) |
| Washington County | Urban | No | 165.5 (153.8, 178.0) | 9 (1, 35) | 155 |
falling
|
-1.3 (-1.6, -0.9) |
| Wayne County | Urban | No | 154.3 (144.7, 164.5) | 23 (6, 48) | 204 |
falling
|
-1.2 (-1.5, -0.9) |
| Westchester County | Urban | Yes | 110.9 (108.4, 113.5) | 59 (57, 60) | 1,528 |
falling
|
-3.4 (-5.1, -2.7) |
| Allegany County | Rural | No | 157.7 (144.1, 172.4) | 18 (2, 50) | 106 |
falling
|
-1.8 (-3.9, -1.4) |
| Cattaraugus County | Rural | No | 153.6 (143.2, 164.7) | 25 (7, 50) | 173 |
falling
|
-1.6 (-3.8, -1.2) |
| Cayuga County | Rural | No | 146.3 (136.3, 156.9) | 36 (12, 53) | 169 |
falling
|
-1.0 (-1.5, -0.6) |
| Chautauqua County | Rural | No | 154.9 (146.8, 163.3) | 22 (8, 43) | 299 |
falling
|
-0.9 (-1.2, -0.7) |
| Chenango County | Rural | No | 159.6 (146.4, 173.8) | 17 (2, 47) | 116 |
falling
|
-1.3 (-1.6, -1.0) |
| Clinton County | Rural | No | 168.0 (157.1, 179.6) | 7 (1, 31) | 184 |
falling
|
-0.9 (-1.2, -0.6) |
| Columbia County | Rural | No | 143.5 (133.1, 154.7) | 40 (16, 54) | 153 |
falling
|
-1.6 (-3.8, -1.3) |
| Cortland County | Rural | No | 159.9 (145.4, 175.5) | 16 (2, 48) | 94 |
falling
|
-1.0 (-1.5, -0.6) |
| Delaware County | Rural | No | 154.0 (141.4, 167.7) | 24 (4, 51) | 124 |
falling
|
-1.2 (-1.6, -0.8) |
| Essex County | Rural | No | 148.5 (135.3, 163.0) | 35 (7, 54) | 100 |
falling
|
-1.6 (-2.2, -1.1) |
| Franklin County | Rural | No | 172.9 (158.6, 188.3) | 5 (1, 31) | 113 |
falling
|
-1.2 (-1.6, -0.8) |
| Fulton County | Rural | No | 164.2 (151.4, 177.9) | 12 (1, 39) | 130 |
falling
|
-1.1 (-1.5, -0.8) |
| Genesee County | Rural | No | 155.0 (143.3, 167.6) | 21 (5, 50) | 136 |
falling
|
-1.2 (-1.5, -0.8) |
| Greene County | Rural | No | 172.9 (159.8, 187.0) | 4 (1, 27) | 138 |
falling
|
-1.3 (-1.8, -0.8) |
| Hamilton County | Rural | No | 137.2 (107.4, 178.2) | 51 (1, 62) | 16 |
falling
|
-1.7 (-2.8, -0.5) |
| Lewis County | Rural | No | 140.8 (124.1, 159.4) | 47 (9, 57) | 54 |
falling
|
-1.8 (-2.3, -1.2) |
| Montgomery County | Rural | No | 160.1 (146.9, 174.3) | 15 (2, 47) | 114 |
falling
|
-1.1 (-1.6, -0.6) |
| Otsego County | Rural | No | 151.5 (139.8, 164.1) | 29 (7, 52) | 136 |
falling
|
-1.1 (-1.6, -0.6) |
| Schuyler County | Rural | No | 186.6 (163.9, 212.0) | 1 (1, 29) | 53 |
stable
|
-0.5 (-1.1, 0.2) |
| Seneca County | Rural | No | 151.4 (135.9, 168.4) | 30 (4, 54) | 74 |
falling
|
-1.2 (-1.7, -0.7) |
| St. Lawrence County | Rural | No | 162.4 (153.1, 172.2) | 14 (3, 36) | 239 |
falling
|
-1.4 (-1.7, -1.0) |
| Steuben County | Rural | No | 172.6 (162.8, 183.0) | 6 (1, 20) | 241 |
falling
|
-1.0 (-1.3, -0.7) |
| Sullivan County | Rural | No | 149.5 (139.2, 160.5) | 33 (8, 52) | 164 |
falling
|
-1.8 (-2.1, -1.5) |
| Wyoming County | Rural | No | 152.8 (138.4, 168.4) | 27 (4, 53) | 87 |
falling
|
-1.0 (-1.4, -0.5) |
| Yates County | Rural | No | 151.1 (133.7, 170.5) | 31 (3, 54) | 57 |
falling
|
-1.4 (-1.8, -0.9) |
Notes:
Created by statecancerprofiles.cancer.gov on 10/08/2024 4:37 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.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
Φ Rural-Urban Continuum Codes provided by the USDA.
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.
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 10/08/2024 4:37 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.
Healthy People 2030 Objectives provided by the Centers for Disease Control and Prevention.
Φ Rural-Urban Continuum Codes provided by the USDA.
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.
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.