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NYS Comptroller

THOMAS P. DiNAPOLI

New York's Highway Bridges, 2016

This table presents data from the Federal Highway Administration's 2016 National Bridge Inventory, with OSC calculations. Data for individual bridges and descriptions of the data elements are available at: www.fhwa.dot.gov/bridge/britab.cfm. The data set includes only highway bridges, as defined by the National Bridge Inspection Standards (NBIS) regulations.

* Bridge age was estimated by subtracting the year each bridge was built from 2016.
County Number of Bridges Average Age * Average Traffic (Vehicles per day) Number Structurally Deficient Percent Structurally Deficient Number Functionally Obsolete Percent Functionally Obsolete Bridge Data Breakdown
Statewide 17,462 48.2 169,682,377 1,928 11.0% 4,531 25.9%
New York City 1,442 64.9 47,311,555 141 9.8% 1,043 72.3%
Erie 892 44.7 12,426,754 95 10.7% 226 25.3%
Westchester 766 58.6 16,341,279 40 5.2% 377 49.2%
Steuben 627 35.5 2,056,389 60 9.6% 52 8.3%
Monroe 610 42.9 9,726,391 59 9.7% 196 32.1%
Chautauqua 557 42.9 1,431,103 39 7.0% 89 16.0%
Cattaraugus 481 36.4 1,004,843 29 6.0% 28 5.8%
Oneida 478 46.1 2,401,278 60 12.6% 98 20.5%
Orange 475 48.9 4,705,905 57 12.0% 110 23.2%
Onondaga 472 44.2 7,330,354 60 12.7% 114 24.2%
Broome 462 44.1 4,106,445 27 5.8% 97 21.0%
Delaware 448 41.5 560,994 31 6.9% 57 12.7%
Allegany 403 37.3 477,483 39 9.7% 17 4.2%
Ulster 384 47.0 1,630,150 64 16.7% 96 25.0%
Suffolk 364 49.5 8,988,299 8 2.2% 204 56.0%
Sullivan 358 46.6 882,441 50 14.0% 45 12.6%
Albany 343 43.4 5,019,044 17 5.0% 114 33.2%
Dutchess 335 56.3 2,326,510 45 13.4% 105 31.3%
Nassau 323 59.4 13,062,029 10 3.1% 223 69.0%
Jefferson 317 49.0 923,148 46 14.5% 59 18.6%
St. Lawrence 316 47.3 436,236 47 14.9% 33 10.4%
Niagara 267 46.7 1,371,623 22 8.2% 58 21.7%
Rensselaer 265 50.6 1,602,276 29 10.9% 50 18.9%
Otsego 265 49.8 604,982 37 14.0% 31 11.7%
Chemung 256 43.3 1,008,927 34 13.3% 30 11.7%
Chenango 255 44.4 501,679 31 12.2% 15 5.9%
Essex 251 43.9 433,203 33 13.1% 52 20.7%
Rockland 243 49.1 4,937,562 16 6.6% 105 43.2%
Columbia 242 58.0 501,679 42 17.4% 55 22.7%
Herkimer 239 51.3 803,720 23 9.6% 46 19.2%
Oswego 232 45.8 714,851 35 15.1% 35 15.1%
Greene 227 42.2 661,241 19 8.4% 51 22.5%
Saratoga 226 46.4 1,545,428 28 12.4% 45 19.9%
Tioga 217 44.4 750,600 37 17.1% 19 8.8%
Montgomery 201 53.7 830,374 20 10.0% 50 24.9%
Clinton 200 40.8 495,574 25 12.5% 36 18.0%
Tompkins 195 49.6 700,179 34 17.4% 41 21.0%
Cortland 192 44.8 645,380 26 13.5% 29 15.1%
Franklin 189 44.3 240,383 36 19.0% 25 13.2%
Washington 182 62.3 341,166 34 18.7% 24 13.2%
Ontario 180 45.7 1,349,883 14 7.8% 27 15.0%
Schoharie 168 46.9 316,852 24 14.3% 23 13.7%
Lewis 167 48.3 148,970 34 20.4% 33 19.8%
Madison 166 52.1 490,354 30 18.1% 18 10.8%
Genesee 164 51.7 596,563 27 16.5% 30 18.3%
Livingston 160 42.2 436,986 9 5.6% 9 5.6%
Cayuga 144 47.0 453,349 32 22.2% 24 16.7%
Orleans 137 60.1 136,730 26 19.0% 18 13.1%
Warren 137 54.2 534,799 28 20.4% 35 25.5%
Wyoming 133 43.6 187,604 15 11.3% 6 4.5%
Schenectady 116 39.4 1,044,295 13 11.2% 40 34.5%
Putnam 102 56.2 1,236,255 8 7.8% 35 34.3%
Schuyler 99 39.4 157,477 12 12.1% 6 6.1%
Fulton 97 57.6 165,499 13 13.4% 19 19.6%
Wayne 96 45.7 268,177 21 21.9% 5 5.2%
Hamilton 85 51.6 45,470 16 18.8% 10 11.8%
Seneca 59 52.3 211,199 14 23.7% 13 22.0%
Yates 55 35.2 62,458 7 12.7% 0 0.0%