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