YTD2017 QUARTER 1-3 (JAN-SEP) NORTH CAROLINA RESIDENT BIRTHS BY COUNTY OF RESIDENCE AND MATERNAL PRE-PREGNANCY BMI

  TOTAL MATERNAL PRE-PREGNANCY BMI
Underweight (<18.5) Normal (18.5-24.9)
Overweight (25.0-29.9) Obese (30.0+)
Unknown
# % # % # % # % # % # %
TOTAL 88,675 100.0 3,030 3.4 36,631 41.3 22,213 25.0 24,912 28.1 1,889 2.1
COUNTY OF RESIDENCE: 1,410 1.6 52 3.7 508 36.0 343 24.3 489 34.7 18 1.3
Alamance
Alexander 280 0.3 9 3.2 94 33.6 77 27.5 99 35.4 1 0.4
Alleghany 69 0.1 4 5.8 23 33.3 21 30.4 21 30.4 0 0.0
Anson 184 0.2 6 3.3 56 30.4 49 26.6 72 39.1 1 0.5
Ashe 168 0.2 8 4.8 69 41.1 40 23.8 50 29.8 1 0.6
Avery 85 0.1 5 5.9 31 36.5 20 23.5 27 31.8 2 2.4
Beaufort 339 0.4 7 2.1 118 34.8 87 25.7 126 37.2 1 0.3
Bertie 119 0.1 2 1.7 27 22.7 27 22.7 62 52.1 1 0.8
Bladen 253 0.3 9 3.6 77 30.4 65 25.7 101 39.9 1 0.4
Brunswick 751 0.8 35 4.7 322 42.9 167 22.2 223 29.7 4 0.5
Buncombe 1,804 2.0 75 4.2 950 52.7 371 20.6 332 18.4 76 4.2
Burke 723 0.8 34 4.7 260 36.0 177 24.5 237 32.8 15 2.1
Cabarrus 1,953 2.2 53 2.7 794 40.7 522 26.7 551 28.2 33 1.7
Caldwell 573 0.6 19 3.3 204 35.6 140 24.4 208 36.3 2 0.3
Camden 39 0.0 2 5.1 12 30.8 13 33.3 12 30.8 0 0.0
Carteret 424 0.5 13 3.1 187 44.1 117 27.6 105 24.8 2 0.5
Caswell 132 0.1 5 3.8 47 35.6 27 20.5 52 39.4 1 0.8
Catawba 1,247 1.4 53 4.3 470 37.7 328 26.3 390 31.3 6 0.5
Chatham 488 0.6 10 2.0 200 41.0 127 26.0 140 28.7 11 2.3
Cherokee 68 0.1 1 1.5 27 39.7 16 23.5 24 35.3 0 0.0
Chowan 99 0.1 1 1.0 32 32.3 21 21.2 43 43.4 2 2.0
Clay 15 0.0 0 0.0 2 13.3 8 53.3 5 33.3 0 0.0
Cleveland 792 0.9 38 4.8 273 34.5 207 26.1 262 33.1 12 1.5
Columbus 370 0.4 13 3.5 114 30.8 95 25.7 145 39.2 3 0.8
Craven 1,041 1.2 43 4.1 431 41.4 254 24.4 311 29.9 2 0.2
Cumberland 4,056 4.6 152 3.7 1,710 42.2 1,085 26.8 1,098 27.1 11 0.3
Currituck 65 0.1 1 1.5 22 33.8 24 36.9 18 27.7 0 0.0
Dare 233 0.3 8 3.4 108 46.4 67 28.8 45 19.3 5 2.1
Davidson 1,325 1.5 38 2.9 492 37.1 351 26.5 414 31.2 30 2.3
Davie 271 0.3 11 4.1 103 38.0 65 24.0 81 29.9 11 4.1
Duplin 479 0.5 14 2.9 165 34.4 123 25.7 175 36.5 2 0.4
Durham 3,122 3.5 97 3.1 1,405 45.0 768 24.6 769 24.6 83 2.7
Edgecombe 470 0.5 21 4.5 135 28.7 114 24.3 197 41.9 3 0.6
Forsyth 3,266 3.7 104 3.2 1,278 39.1 779 23.9 912 27.9 193 5.9
Franklin 551 0.6 19 3.4 195 35.4 128 23.2 199 36.1 10 1.8
Gaston 1,878 2.1 73 3.9 748 39.8 458 24.4 565 30.1 34 1.8
Gates 39 0.0 1 2.6 17 43.6 5 12.8 16 41.0 0 0.0
Graham 56 0.1 2 3.6 23 41.1 16 28.6 15 26.8 0 0.0
Granville 452 0.5 16 3.5 167 36.9 123 27.2 142 31.4 4 0.9
Greene 145 0.2 5 3.4 43 29.7 41 28.3 54 37.2 2 1.4
Guilford 4,653 5.2 141 3.0 1,707 36.7 1,248 26.8 1,350 29.0 207 4.4
Halifax 440 0.5 13 3.0 147 33.4 85 19.3 195 44.3 0 0.0
Harnett 1,362 1.5 37 2.7 574 42.1 378 27.8 367 26.9 6 0.4
Haywood 466 0.5 21 4.5 189 40.6 122 26.2 126 27.0 8 1.7
Henderson 792 0.9 27 3.4 368 46.5 195 24.6 186 23.5 16 2.0
Hertford 155 0.2 2 1.3 46 29.7 33 21.3 73 47.1 1 0.6
Hoke 667 0.8 31 4.6 279 41.8 178 26.7 177 26.5 2 0.3
Hyde 21 0.0 1 4.8 11 52.4 6 28.6 3 14.3 0 0.0
Iredell 1,379 1.6 48 3.5 566 41.0 361 26.2 385 27.9 19 1.4
Jackson 264 0.3 10 3.8 108 40.9 58 22.0 85 32.2 3 1.1
Johnston 1,711 1.9 54 3.2 592 34.6 484 28.3 559 32.7 22 1.3
Jones 77 0.1 1 1.3 28 36.4 24 31.2 24 31.2 0 0.0
Lee 558 0.6 15 2.7 217 38.9 143 25.6 176 31.5 7 1.3
Lenoir 460 0.5 13 2.8 155 33.7 128 27.8 160 34.8 4 0.9
Lincoln 589 0.7 22 3.7 242 41.1 141 23.9 179 30.4 5 0.8
Macon 243 0.3 10 4.1 100 41.2 65 26.7 65 26.7 3 1.2
Madison 127 0.1 2 1.6 55 43.3 33 26.0 35 27.6 2 1.6
Martin 172 0.2 10 5.8 48 27.9 37 21.5 77 44.8 0 0.0
McDowell 339 0.4 11 3.2 125 36.9 73 21.5 126 37.2 4 1.2
Mecklenburg 10,961 12.4 356 3.2 5,172 47.2 2,675 24.4 2,367 21.6 391 3.6
Mitchell 99 0.1 6 6.1 40 40.4 14 14.1 39 39.4 0 0.0
Montgomery 204 0.2 6 2.9 61 29.9 65 31.9 69 33.8 3 1.5
Moore 833 0.9 25 3.0 446 53.5 213 25.6 146 17.5 3 0.4
Nash 832 0.9 31 3.7 241 29.0 234 28.1 325 39.1 1 0.1
New Hanover 1,702 1.9 85 5.0 811 47.6 412 24.2 388 22.8 6 0.4
Northampton 145 0.2 5 3.4 49 33.8 38 26.2 53 36.6 0 0.0
Onslow 3,023 3.4 127 4.2 1,386 45.8 756 25.0 740 24.5 14 0.5
Orange 871 1.0 34 3.9 469 53.8 177 20.3 163 18.7 28 3.2
Pamlico 55 0.1 1 1.8 16 29.1 10 18.2 28 50.9 0 0.0
Pasquotank 298 0.3 5 1.7 115 38.6 76 25.5 102 34.2 0 0.0
Pender 485 0.5 16 3.3 222 45.8 111 22.9 132 27.2 4 0.8
Perquimans 81 0.1 5 6.2 20 24.7 21 25.9 35 43.2 0 0.0
Person 318 0.4 8 2.5 106 33.3 72 22.6 130 40.9 2 0.6
Pitt 1,502 1.7 48 3.2 552 36.8 365 24.3 534 35.6 3 0.2
Polk 112 0.1 2 1.8 56 50.0 29 25.9 23 20.5 2 1.8
Randolph 1,203 1.4 45 3.7 436 36.2 300 24.9 396 32.9 26 2.2
Richmond 423 0.5 14 3.3 143 33.8 101 23.9 163 38.5 2 0.5
Robeson 1,328 1.5 46 3.5 438 33.0 351 26.4 466 35.1 27 2.0
Rockingham 634 0.7 18 2.8 204 32.2 147 23.2 255 40.2 10 1.6
Rowan 1,203 1.4 39 3.2 431 35.8 288 23.9 433 36.0 12 1.0
Rutherford 502 0.6 11 2.2 188 37.5 134 26.7 164 32.7 5 1.0
Sampson 606 0.7 17 2.8 210 34.7 172 28.4 186 30.7 21 3.5
Scotland 351 0.4 11 3.1 123 35.0 78 22.2 139 39.6 0 0.0
Stanly 560 0.6 20 3.6 205 36.6 142 25.4 188 33.6 5 0.9
Stokes 304 0.3 20 6.6 104 34.2 65 21.4 102 33.6 13 4.3
Surry 560 0.6 12 2.1 204 36.4 155 27.7 175 31.3 14 2.5
Swain 110 0.1 8 7.3 32 29.1 29 26.4 39 35.5 2 1.8
Transylvania 180 0.2 6 3.3 86 47.8 39 21.7 42 23.3 7 3.9
Tyrrell 24 0.0 0 0.0 7 29.2 4 16.7 12 50.0 1 4.2
Union 1,757 2.0 47 2.7 799 45.5 429 24.4 456 26.0 26 1.5
Vance 437 0.5 15 3.4 112 25.6 118 27.0 187 42.8 5 1.1
Wake 9,364 10.6 299 3.2 4,445 47.5 2,263 24.2 2,019 21.6 338 3.6
Warren 124 0.1 4 3.2 38 30.6 39 31.5 41 33.1 2 1.6
Washington 104 0.1 5 4.8 25 24.0 25 24.0 47 45.2 2 1.9
Watauga 290 0.3 6 2.1 145 50.0 66 22.8 71 24.5 2 0.7
Wayne 1,198 1.4 30 2.5 441 36.8 336 28.0 390 32.6 1 0.1
Wilkes 470 0.5 21 4.5 168 35.7 120 25.5 155 33.0 6 1.3
Wilson 697 0.8 26 3.7 234 33.6 180 25.8 257 36.9 0 0.0
Yadkin 288 0.3 18 6.3 95 33.0 77 26.7 88 30.6 10 3.5
Yancey 128 0.1 4 3.1 60 46.9 29 22.7 32 25.0 3 2.3

Prepared by NC DHHS/Division of Public Health/State Center for Health Statistics 28NOV17
CAUTION: Data shown are provisional and include only resident events occurring within North Carolina. Data does not reflect events affecting North Carolina
residents that occurred in other states. Therefore provisional data will not match the final number of resident events reported.