Disease of the heart mortality rate per 100,000

Source:2012-2014 Vital Statistics Data as of May, 2016

Adjusted Rates Are Age Adjusted to The 2000 United States Population

(Click on a county name for trend graph data)

  Deaths Average population Crude Adjusted
Region/County 2012 2013 2014 Total 2012-2014 Rate Rate
Reg- 1 Long Island
Nassau 3,985 3,852 3,841 11,678 1,353,335 287.6 196.2
Suffolk 3,213 3,321 3,356 9,890 1,500,660 219.7 180.0
Region Total 7,198 7,173 7,197 21,568 2,853,995 251.9 188.6
Reg- 2 New York City
Bronx 2,730 2,767 2,743 8,240 1,421,788 193.2 208.9
Kings 5,086 5,194 4,906 15,186 2,593,192 195.2 195.1
New York 2,743 2,687 2,695 8,125 1,627,172 166.4 142.7
Queens 4,699 4,633 4,664 13,996 2,296,842 203.1 178.6
Richmond 1,263 1,293 1,303 3,859 472,209 272.4 242.2
Region Total 16,521 16,574 16,311 49,406 8,411,204 195.8 184.2
Reg- 3 Mid-Hudson
Dutchess 621 610 640 1,871 296,939 210.0 171.1
Orange 629 643 695 1,967 375,401 174.7 175.1
Putnam 202 205 182 589 99,580 197.2 179.6
Rockland 630 605 555 1,790 320,842 186.0 154.8
Sullivan 207 187 194 588 76,467 256.3 216.3
Ulster 411 453 438 1,302 181,078 239.7 177.4
Westchester 2,113 2,155 1,911 6,179 967,702 212.8 152.6
Region Total 4,813 4,858 4,615 14,286 2,318,009 205.4 163.5
Reg- 4 Capital Region
Albany 703 691 688 2,082 306,857 226.2 173.2
Columbia 181 179 187 547 62,288 292.7 185.9
Greene 121 139 127 387 48,365 266.7 182.2
Rensselaer 408 369 375 1,152 159,842 240.2 197.8
Saratoga 429 448 402 1,279 223,640 190.6 158.2
Schenectady 409 417 430 1,256 155,397 269.4 192.8
Region Total 2,251 2,243 2,209 6,703 956,389 233.6 178.3
Reg- 5 Mohawk Valley
Fulton 174 156 160 490 54,539 299.5 207.0
Herkimer 225 198 196 619 64,144 321.7 211.2
Montgomery 188 188 171 547 49,872 365.6 235.3
Otsego 149 159 148 456 61,507 247.1 171.1
Schoharie 54 77 72 203 31,836 212.5 159.9
Region Total 790 778 747 2,315 261,898 294.6 200.1
Reg- 6 North Country
Clinton 166 142 176 484 81,626 197.6 172.1
Essex 108 112 104 324 38,801 278.3 174.7
Franklin 114 96 105 315 51,582 203.6 181.7
Hamilton 16 18 12 46 4,755 322.5 187.3
Warren 146 161 142 449 65,283 229.3 151.5
Washington 124 113 160 397 62,800 210.7 158.8
Region Total 674 642 699 2,015 304,846 220.3 165.7
Reg- 7 Tug Hill Seaway
Jefferson 203 223 234 660 119,623 183.9 191.8
Lewis 67 62 59 188 27,198 230.4 173.6
St. Lawrence 278 266 259 803 111,865 239.3 204.9
Region Total 548 551 552 1,651 258,686 212.7 195.3
Reg- 8 Central NY
Cayuga 204 186 207 597 79,284 251.0 174.1
Cortland 115 80 96 291 49,158 197.3 168.4
Madison 138 132 138 408 72,378 187.9 154.3
Oneida 732 640 692 2,064 233,337 294.9 195.4
Onondaga 899 910 913 2,722 467,812 194.0 147.8
Oswego 272 224 224 720 121,259 197.9 177.8
Region Total 2,360 2,172 2,270 6,802 1,023,228 221.6 166.9
Reg- 9 Southern Tier
Broome 558 590 511 1,659 197,648 279.8 187.9
Chenango 172 204 187 563 49,621 378.2 257.7
Delaware 171 170 124 465 46,860 330.8 209.1
Tioga 116 87 100 303 50,197 201.2 150.9
Tompkins 164 140 149 453 103,621 145.7 142.2
Region Total 1,181 1,191 1,071 3,443 447,946 256.2 186.2
Reg- 10 Finger Lakes
Chemung 247 242 272 761 88,396 287.0 204.2
Livingston 138 116 105 359 64,700 185.0 146.0
Monroe 1,459 1,421 1,472 4,352 749,092 193.7 148.1
Ontario 237 253 236 726 109,110 221.8 157.6
Schuyler 63 45 49 157 18,484 283.1 202.9
Seneca 77 67 67 211 35,199 199.8 145.9
Steuben 234 207 265 706 98,702 238.4 173.5
Wayne 192 181 180 553 92,495 199.3 162.1
Yates 62 57 47 166 25,236 219.3 156.2
Region Total 2,709 2,589 2,693 7,991 1,281,415 207.9 156.9
Reg- 11 Western NY
Allegany 100 136 96 332 48,067 230.2 174.9
Cattaraugus 272 248 260 780 78,983 329.2 246.7
Chautauqua 404 406 405 1,215 132,891 304.8 202.9
Erie 2,349 2,438 2,281 7,068 920,596 255.9 182.4
Genesee 180 148 158 486 59,531 272.1 188.5
Niagara 684 753 659 2,096 214,299 326.0 227.1
Orleans 129 124 120 373 42,352 293.6 234.1
Wyoming 99 95 82 276 41,537 221.5 191.0
Region Total 4,217 4,348 4,061 12,626 1,538,256 273.6 195.0
New York State 43,262 43,119 42,425 128,806 19,655,872 218.4 180.1

See technical notes for information about the indicators and data sources.