2016 New York State White-tailed Deer Harvest Summarymetrics of deer taken (age, sex, antler...

www.dec.ny.gov

WHITE-TAILED DEER HARVEST SUMMARY

2016

Results reported in this document were funded by the Federal Aid in Wildlife Restoration Act. Grant WE-173-G

Yearling Buck Older Buck

Body Size similar to adult doe larger than adult doe

Legsappear long and

skinnyappear more stocky due to

deeper chest

Musclesoften not clearly

definedwell defined in shoulders and

thighs

Body Shape

slender, belly tucks up

belly flat or even sagging

Antlersthin, spread

narrower than ear tips

spread almost as wide as ear tips on 2.5‐year‐old, wider if older

Photos of the same New York buck over 3 years. Note that spike bucks do grow larger antlers when given the chance. Photos by Charles Alsheimer.

You Can Change Your Hunting Experience• For NY bucks to grow bigger bodies and larger antlers, they just

need to get older.

• Older bucks yield more meat; they create more rubs and scrapes; and they vocalize more – all things that add to the deer hunting experience.

• Many NY hunters are already choosing to pass up young bucks and you can too!

New York hunters can take more older bucks simply by choosing to pass up shots at young,

small‐antlered bucks.

What Can You Do to See More Older Bucks?• Choose to let young bucks walk.

• Improve the habitat by creating young forest and enhancing natural forage and cover for deer.

• In many areas, taking an antlerless deer instead of a young buck would help meet management goals and bring the deer population into better balance with the habitat, which in turn helps deer.

• Work with your neighbors and hunting partners to cooperatively reduce harvest of young bucks, meet your antlerless harvest goals, and improve habitat conditions.

Reducing the harvest of young bucks is an unmistakable trend in NY and nationally.

Learn the Differences between Yearling and Older BucksNearly all bucks in NY with 4 antler points or less are yearlings.

These bucks from Washington County, NY demonstrate typical body size and antler differences between yearlings and 2.5 and 3.5 year old bucks. Photos courtesy of QDMA.

3 ½ 2 ½ 1 ½

Change 5‐year Average

(2015 to 2016) (2011 to 2015)

Total Take 213,061 202,973 5.0% 231,306

Adult Buck Take (≥ 1.5 years old) 107,006 99,572 7.5% 110,377

Adult Female Take (≥ 1.5 years old) 78,288 75,157 4.2% 84,569

Antlerless Take (fawns and adult does) 106,055 103,401 2.6% 120,928

% Buck Fawns in Antlerless Take 13.1% 14.9% 16.3%

% Buck Take ≥ 2.5 Years Old 50.6% 52.8% 48.4%

Antlerless to Adult Buck Harvest Ratio 0.99 : 1 1.04 : 1 1.1 : 1

Deer Management Permits (DMPs) Issued 588,430 626,389 ‐6.1% 617,591

DMP Take 81,507 76,928 6.0% 91,612

DMP Success Rate 13.9% 12.3% 14.9%

DMAP Take 9,134 10,847 ‐15.8% 11,405

Muzzleloader Season Take 1 15,369 11,570 14,834

% Antlerless of Muzzleloader Take 66.4% 60.5% 61.1%

Bow Season Take 1 46,735 37,697 36,458

% Antlerless of Bow Take 41.8% 31.0% 31.5%

Crossbow Take 9,439 7,469 26.4%

Youth Deer Hunt 1,162 1,222 ‐4.9% 1,273

Hunter Reporting Rate (statewide, all tags) 43.5% 44.0% 44.0%

Deer Check (% of harvest checked by DEC) 2 6.6% 6.9% 6.7%

Statewide Harvest Estimate Precision (95% CI) ±1.83% ±1.95% ±1.91%

NEW YORK STATE

DEPARTMENT OF ENVIRONMENTAL CONSERVATION

2016 Deer Harvest ‐ Recent Trend Comparison

2 DEC checks hunter‐killed deer each year to determine reporting rate by zone and tag type (DMP, Bow/Muzz, Regular Season tags, etc.) and to monitor biological

metrics of deer taken (age, sex, antler characteristics). In 2016, DEC checked 14,085 deer throughout New York.

2016 2015

1 Values for Muzzleloader and Bow Season Take in 2016 include deer taken on Bow/Muzz tags and DMPs. In past years, the Muzzleloader and Bow values only

reflected take on Bow/Muzz tags.

Reg Big

Game 1

Bow/Muzz

Either‐Sex

Bow/Muzz

AntlerlessDMP 2 DMAP 2 Bow

Muzzle‐

loaderRegular Youth

Northern Zone Total 13,969 3,397 1,955 3,891 1,462 1,437 4,322 18,808 107 24,674

Male Adult 13,917 2,418 89 47 24 703 1,989 13,728 75 16,495

Male Fawn 11 173 91 349 156 35 250 490 5 780

Female Adult 38 756 1,686 2,940 1,072 661 1,963 3,846 22 6,492

Female Fawn 3 50 89 555 210 38 120 744 5 907

Southern Zone Total 61,725 30,350 11,024 77,616 7,672 45,298 11,047 130,987 1,055 188,387Male Adult 61,296 27,113 499 1,472 131 26,477 3,173 60,245 616 90,511

Male Fawn 66 310 526 11,383 818 1,837 921 10,281 64 13,103

Female Adult 340 2,775 9,500 53,576 5,605 15,157 6,301 50,027 311 71,796

Female Fawn 23 152 499 11,185 1,118 1,827 652 10,434 64 12,977

Statewide Total 75,694 33,747 12,979 81,507 9,134 46,735 15,369 149,795 1,162 213,061Male Adult 75,213 29,531 588 1,519 155 27,180 5,162 73,973 691 107,006

Male Fawn 77 483 617 11,732 974 1,872 1,171 10,771 69 13,883

Female Adult 378 3,531 11,186 56,516 6,677 15,818 8,264 53,873 333 78,288Female Fawn 26 202 588 11,740 1,328 1,865 772 11,178 69 13,884

2 Deer Management Permits (DMPs) and Deer Management Assistance Program (DMAP) tags were for antlerless deer. Bucks with shed antlers or antlers less than 3

inches long were not considered legally antlered deer and may be taken using a DMP or DMAP tag.

3 Season Totals include all deer taken on all tags eligible to be used during those seasons. DMPs and DMAP tags could be used during all seasons.

Deer Take by Season 3

Total

NEW YORK STATE


2016 Calculated Deer Harvest by Zone

Deer Take by Tag Type

1 Regular Big Game tags were generally for antlered deer only, but could be used for deer of either‐sex during late bow and muzzleloader seasons or anytime in

Suffolk and Westchester Counties.

2016 New York State Deer Take by Wildlife Management UnitThe values presented here are calculated estimates. The precision of the statewide take estimate is within 1-2 percent.

New York State Department of Environmental Conservation

WMU BUCKS/SQ MI

BUCKS TOTAL DEER

TOTAL/ SQ MI

WMU BUCKS/SQ MI

BUCKS TOTAL DEER

TOTAL/ SQ MI

1C 1,321 1.5 3,207 3.63A 652 0.9 774 1.13C 692 2.2 1,020 3.23F 755 2.3 1,424 4.33G 706 1.5 1,178 2.63H 1,548 2.8 2,343 4.23J 907 2.6 1,768 5.03K 783 2.1 936 2.53M 2,880 3.8 6,781 9.13N 422 1.9 741 3.33P 180 1.4 275 2.23R 198 1.0 352 1.73S 562 1.3 1,259 2.94A 1,281 3.0 1,986 4.64B 318 2.0 596 3.74C 725 4.4 1,331 8.14F 4,112 3.5 7,790 6.74G 863 2.3 1,502 4.14H 985 3.4 1,495 5.24J 223 1.5 495 3.34K 608 2.4 1,096 4.34L 439 2.0 543 2.54O 1,677 2.2 2,528 3.34P 720 2.0 1,331 3.74R 546 1.9 837 2.94S 580 2.6 856 3.94T 382 2.9 886 6.74U 384 3.0 482 3.84W 785 1.8 1,126 2.54Y 520 2.9 1,017 5.84Z 664 2.6 1,051 4.25A 510 0.8 721 1.25C 480 0.4 583 0.55F 575 0.4 689 0.55G 1,024 0.9 1,445 1.35H 1,921 0.6 2,312 0.85J 1,072 1.6 1,457 2.25R 698 1.9 1,614 4.35S 1,286 3.0 2,488 5.95T 432 1.9 541 2.46A 1,953 1.3 2,486 1.76C 1,605 1.6 2,488 2.56F 608 0.5 697 0.66G 2,519 2.7 5,487 5.96H 205 1.2 360 2.16J 901 0.6 1,007 0.66K 2,358 2.0 3,960 3.46N 764 1.6 982 2.06P 469 2.3 957 4.76R 1,151 2.1 2,352 4.36S 1,762 3.0 3,237 5.57A 1,553 2.9 3,077 5.6

7F 1,552 2.3 3,970 5.87H 802 2.2 2,169 6.17J 2,385 2.8 6,164 7.37M 3,953 3.2 7,919 6.47P 1,120 2.3 1,930 4.07R 2,025 2.7 5,023 6.87S 1,948 2.9 3,692 5.68A 1,237 3.0 3,082 7.48C 190 1.4 336 2.48F 2,420 3.3 6,480 8.88G 2,899 4.2 7,649 11.18H 2,649 4.6 7,312 12.78J 1,870 2.6 5,137 7.28M 1,583 5.1 3,500 11.48N 1,820 5.8 5,084 16.28P 1,189 3.3 2,017 5.78R 1,576 5.8 4,254 15.88S 883 3.4 1,649 6.48T 1,389 3.6 2,428 6.38W 1,200 2.7 1,968 4.58X 1,545 3.9 3,564 8.98Y 1,283 3.6 2,271 6.49A 1,016 2.2 2,326 5.09F 831 3.0 1,889 6.89G 606 2.6 1,476 6.49H 4,073 4.2 9,769 10.09J 2,510 3.6 5,373 7.79K 1,631 3.7 3,162 7.19M 1,466 4.4 3,063 9.39N 790 3.8 1,768 8.59P 2,257 3.9 3,613 6.29R 452 2.1 635 2.99S 115 1.3 162 1.89T 500 2.0 765 3.19W 854 3.4 1,494 6.09X 634 2.9 1,009 4.69Y 489 3.9 1,013 8.1

Antlered Bucks

Total Deer

Antlerless

107,006

213,061

106,055

Adult Buck Take Density

2016

Antlerless Deer Take Density

2016

Bucks Taken per Square Mi le

LJ < 1.0

CJ 1.1 -2.0

• 2.1 -3.0

. 3.1-4.0

• 4.1-5.0

- 5.1 -6.1

Cl No Deer Hunting

D WMU

Deer Taken per Square Mile

LJ <1.0

D 1.1 -2.0

. 2.1-4.0

- 4.1-6.0

• 6.1-8.0

• 8.1 -13.0

CJ No Deer Hunting

LJ WMU

Change in Adult Buck Take

2016 vs. 2015

Change in Antlerless Deer Take

2016 vs. 2015

Difference

- > 20% Increase

- 1 O - 20% Increase

D Stable(± 10%)

- 10 - 20% Decreas

- > 20% Decrease

Cl No Deer Hunting

D WMU

Difference

- > 20% Increase

- 1 O - 20% Increase

D Stable(± 10%)

- 10 - 20% Decrea

- > 20% Decrease

D No Deer Hunting

L_j WMU

Antlerless to Antlered Deer Harvest Ratio

2016 # Antlerless per Antlered Deer Taken

- 0.1-0.5

- 0.5-0.75

C_J o.75-1 .0

D 1.0-1.25

- 1.25- 1.5

- 1.5-2.0

Percent(%)

D 5.0-10.0

D 10.0-12.5

- 12.5-15.0

- 15.0-17.5

- 17.5 - 20.0

D No Deer Hunting

i! VVMU

Page B

2016 Buck Take vs

Objectives

D > 10% Below Objective D No Deer Hunting

- ± 1 0% of Objective No Objective

- > 10% Above Objective ~ Antler Restriction Units

Notes: The Buck Take Objective (BTO) for a WMU represents the number of antlered bucks expected to be harvested per square mile when the deer population is at the desired level. BTOs are based upon recommendations of local stakeholders in each WMU. BTOs are not the estimated take for a particular hunting season but rather help guide the direction of population management efforts in an area . In many .Adirondack and highly suburban units, deer populations are strongly influenced by factors other than hunting (winter mortality, deer vehicle collisions. lack of hunter access), and no BTO has been established for these units. In WMUs with mandatory antler restrictions, buck takes are no longer a valid index of relative deer populations.

Bucks I Square Mile

0 <1.0

L 1 1.1 -2.0

• 2.1-3.0

• 3.1-4.0

• 4.1-5.0

• 5.1-6.0

2016 NEW YORK STATE DEER TAKE BY TOWN AND COUNTYListed below are counties, towns and cities from which deer harvests were reported. The values presented here are calculated estimates.

First column of figures represents ADULT BUCK TAKE(1 1/2+ Yrs Old). Second column of figures represents TOTAL TAKE.

New York State Department of Environmental Conservation

AlbanyAlbany City 13 24Berne 245 358Bethlehem 139 264Coeymans 121 235Cohoes City 0 2Colonie 72 159Guilderland 104 203Knox 83 131New Scotland 126 251Rensselaerville 184 308Watervliet City 2 7Westerlo 210 316

1,299 2,258TotalAllegany

Alfred 119 226Allen 231 330Alma 110 151Almond 136 258Amity 96 184Andover 169 438Angelica 142 218Belfast 185 322Birdsall 154 239Bolivar 139 263Burns 120 200Caneadea 125 250Centerville 133 326Clarksville 96 149Cuba 106 182Friendship 179 250Genesee 88 153Granger 171 269Grove 175 281Hume 190 431Independence 95 227New Hudson 71 146Rushford 147 265Scio 96 153Ward 84 148Wellsville 150 267West Almond 141 191Willing 110 184Wirt 75 144

3,833 6,845TotalBroome

Barker 27 52Binghamton 125 256Chenango 71 106Colesville 180 300Conklin 77 161Dickinson 6 11Fenton 27 42Kirkwood 99 168Lisle 100 330Maine 143 279Nanticoke 28 82Sanford 199 288Triangle 78 144Union 89 139Vestal 185 452Windsor 278 476

1,712 3,286Total

CattaraugusAllegany 123 193Ashford 159 308Carrollton 50 87Cold Spring 42 79Conewango 158 279Dayton 135 302East Otto 208 447Ellicottville 281 541Farmersville 176 312Franklinville 212 400Freedom 132 259Great Valley 100 144Hinsdale 132 177Humphrey 105 185Ischua 66 105Leon 156 329Little Valley 85 142Lyndon 107 203Machias 169 346Mansfield 160 314Napoli 98 193New Albion 157 316Olean 55 74Otto 150 392Perrysburg 114 304Persia 71 163Portville 103 164Randolph 170 275Red House 47 57Salamanca 43 53South Valley 76 102Yorkshire 123 222

3,963 7,467TotalCayuga

Auburn City 10 26Aurelius 81 178Brutus 57 199Cato 94 290Conquest 129 314Fleming 37 98Genoa 72 240Ira 119 220Ledyard 92 294Locke 75 229Mentz 80 172Montezuma 56 132Moravia 131 386Niles 114 293Owasco 61 133Scipio 76 144Sempronius 60 199Sennett 112 237Springport 32 87Sterling 157 383Summerhill 72 204Throop 73 173Venice 47 131Victory 99 259

1,936 5,021TotalChautauqua

Arkwright 157 291Busti 153 367Carroll 112 197

Charlotte 125 233Chautauqua 326 674Cherry Creek 173 305Clymer 183 395Dunkirk 30 63Ellery 160 341Ellicottville 95 171Ellington 130 226French Creek 82 202Gerry 134 229Hanover 161 380Harmony 193 399Jamestown City 4 27Kiantone 54 103Mina 110 226North Harmony 113 228Poland 116 207Pomfret 155 328Portland 107 234Ripley 184 390Sheridan 105 306Sherman 158 302Stockton 207 454Villenova 90 194Westfield 139 267

3,756 7,739TotalChemung

Ashland 86 133Baldwin 69 111Big Flats 107 173Catlin 69 116Chemung 173 276Elmira 113 196Elmira City 0 5Erin 103 225Horseheads 87 171Southport 287 474Van Etten 89 203Veteran 110 156

1,293 2,239TotalChenango

Afton 105 165Bainbridge 134 218Columbus 92 185Coventry 142 249German 58 119Greene 202 365Guilford 191 301Lincklaen 50 102Mcdonough 127 214New Berlin 95 165North Norwich 47 78Norwich 176 255Norwich City 0 5Otselic 94 192Oxford 205 430Pharsalia 82 150Pitcher 71 161Plymouth 171 297Preston 124 232Sherburne 203 365Smithville 153 351Smyrna 193 413

2,715 5,012Total

ClintonAltona 63 83Ausable 17 25Beekmantown 16 20Black Brook 53 77Champlain 43 53Chazy 30 44Clinton 70 100Dannemora 23 27Ellenburg 74 84Mooers 71 114Peru 52 76Plattsburgh 17 23Saranac 76 95Schuyler 34 40

639 861TotalColumbia

Ancram 182 293Austerlitz 110 140Canaan 78 108Chatham 209 313Claverack 125 262Clermont 39 112Copake 134 230Gallatin 88 155Germantown 77 125Ghent 154 353Greenport 44 86Hillsdale 124 179Hudson City 20 33Kinderhook 91 208Livingston 95 184New Lebanon 54 63Stockport 41 68Stuyvesant 72 157Taghkanic 116 190

1,853 3,259TotalCortland

Cincinnatus 80 174Cortland City 4 11Cortlandville 107 249Cuyler 122 256Freetown 67 143Harford 28 74Homer 112 283Lapeer 42 134Marathon 93 175Preble 37 98Scott 81 209Solon 91 171Taylor 80 164Truxton 166 338Virgil 136 348Willet 80 157

1,326 2,984TotalDelaware

Andes 224 379Bovina 91 186Colchester 229 318Davenport 119 221Delhi 134 242Deposit 104 161Franklin 213 345Hamden 131 212

Hancock 335 504Harpersfield 156 286Kortright 152 194Masonville 96 187Meredith 178 245Middletown 180 313Roxbury 154 237Sidney 109 168Stamford 77 108Tompkins 118 175Walton 224 345

3,024 4,826TotalDutchess

Amenia 61 94Beacon City 4 6Beekman 44 70Clinton 125 253Dover 80 123East Fishkill 94 163Fishkill 74 110Hyde Park 66 126La Grange 60 117Milan 66 122Northeast 40 71Pawling 53 91Pine Plains 54 86Pleasant Valley 67 158Poughkeepsie 57 101Red Hook 94 164Rhinebeck 116 204Stanford 69 129Union Vale 53 106Wappinger 64 106Washington 142 245

1,483 2,645TotalErie

Alden 162 304Aurora 169 312Boston 81 164Brant 49 97Clarence 117 252Colden 128 287Collins 158 440Concord 258 567Eden 116 272Elma 137 349Evans 131 310Grand Island 68 158Hamburg 72 136Holland 132 256Lancaster 85 166Marilla 111 236Newstead 147 353North Collins 76 163Orchard Park 85 252Sardinia 142 299Wales 177 339

2,601 5,712TotalEssex

Chesterfield 81 99Crown Point 73 101Elizabethtown 37 56Essex 27 51Jay 66 90Keene 86 102Lewis 54 67Minerva 69 75Moriah 79 89Newcomb 75 78

North Elba 58 69North Hudson 37 38Schroon 73 88St Armand 11 13Ticonderoga 52 70Westport 91 169Willsboro 31 47Wilmington 33 48

1,033 1,350TotalFranklin

Bangor 74 120Bellmont 63 81Bombay 35 40Brandon 26 27Brighton 32 34Burke 40 71Chateaugay 37 44Constable 45 60Dickinson 44 67Duane 23 23Fort Covington 35 56Franklin 60 65Harrietstown 70 82Malone 98 127Moira 75 115Santa Clara 57 59Tupper Lake 0 6Waverly 76 78Westville 42 50

932 1,205TotalFulton

Bleecker 46 56Broadalbin 61 95Caroga 66 89Ephratah 78 127Gloversville Ci 1 4Johnstown 128 225Mayfield 66 82Northampton 15 25Oppenheim 152 262Perth 44 99Stratford 75 91

732 1,155TotalGenesee

Alabama 180 516Alexander 157 447Batavia 191 441Bergen 199 410Bethany 203 660Byron 141 444Darien 239 642Elba 178 425Le Roy 136 371Oakfield 148 430Pavilion 163 369Pembroke 235 477Stafford 109 259

2,279 5,891TotalGreene

Ashland 58 106Athens 134 218Cairo 165 209Catskill 165 236Coxsackie 102 152Durham 165 252Greenville 180 284Halcott 30 46Hunter 72 88Jewett 62 86

Lexington 99 127New Baltimore 85 114Prattsville 33 55Windham 56 80

1,406 2,053TotalHamilton

Arietta 64 65Benson 60 64Hope 78 87Indian Lake 142 176Inlet 34 36Lake Pleasant 80 85Long Lake 103 121Morehouse 39 42Wells 137 161

737 837TotalHerkimer

Columbia 124 256Danube 92 158Fairfield 117 202Frankfort 113 160German Flatts 150 260Herkimer 106 196Litchfield 80 170Little Valley 97 189Manheim 33 75Newport 68 140Norway 146 230Ohio 186 204Russia 112 135Salisbury 118 148Schuyler Falls 79 157Stark 96 204Warren 133 259Webb 129 133Winfield 96 180

2,075 3,456TotalJefferson

Adams 216 494Alexandria 80 117Antwerp 86 117Brownville 146 370Cape Vincent 59 117Champion 177 359Clayton 163 353Ellisburg 319 710Henderson 220 484Hounsfield 151 341Le Ray 89 201Lorraine 126 198Lyme 106 252Orleans 59 154Pamelia 60 106Philadelphia 32 52Rodman 238 457Rutland 142 296Theresa 115 187Watertown 204 334Wilna 124 182Worth 71 83

2,983 5,964TotalLewis

Croghan 308 408Denmark 156 372Diana 114 157Greig 56 58Harrisburg 46 74Lewis 68 106Leyden 74 129

Lowville 103 216Lyonsdale 100 101Martinsburg 125 212Montague 95 104New Bremen 98 159Osceola 90 142Pinckney 30 31Turin 55 63Watson 113 135West Turin 114 172

1,745 2,639TotalLivingston

Avon 180 453Caledonia 216 621Conesus 190 476Geneseo 180 423Groveland 137 313Leicester 120 365Lima 155 429Livonia 210 590Mount Morris 363 796North Dansville 39 71Nunda 305 546Ossian 208 360Portage 116 277Sparta 131 247Springwater 250 726West Sparta 131 340York 198 487

3,129 7,520TotalMadison

Brookfield 307 643Cazenovia 160 359De Ruyter 48 100Eaton 203 435Fenner 99 228Georgetown 125 220Hamilton 208 450Lebanon 99 218Lenox 60 140Lincoln 66 129Madison 153 472Nelson 129 292Oneida City 30 82Smithfield 73 228Stockbridge 78 297Sullivan 136 351

1,974 4,644TotalMonroe

Brighton 29 59Chili 69 194Clarkson 103 260Greece 91 171Hamlin 92 208Henrietta 79 220Irondequoit 29 64Mendon 300 839Ogden 94 273Parma 123 258Penfield 88 167Perinton 51 124Pittsford 38 121Riga 137 268Rochester City 10 10Rush 222 589Sweden 142 408Webster 84 180Wheatland 171 508

1,952 4,921Total

MontgomeryAmsterdam 56 119Canajoharie 129 218Charleston 151 242Florida 100 138Glen 128 188Minden 108 189Mohawk 60 89Palatine 71 153Root 166 278St Johnsville 38 73

1,007 1,687TotalNiagara

Cambria 58 135Hartland 183 426Lewiston 35 68Lockport 141 348Newfane 148 320Niagara 17 46North Tonawanda 2 2Pendleton 71 149Porter 67 142Royalton 190 495Somerset 165 394Wheatfield 18 39Wilson 74 126

1,169 2,690TotalOneida

Annsville 136 215Augusta 64 179Ava 65 114Boonville 113 175Bridgewater 55 106Camden 158 267Deerfield 84 148Florence 114 174Floyd 80 149Forestport 97 109Kirkland 124 218Lee 60 90Marcy 109 199Marshall 168 318New Hartford 61 107Paris 113 202Remsen 111 150Rome City 17 22Sangerfield 118 195Steuben 56 124Trenton 112 240Utica City 4 9Vernon 85 198Verona 145 275Vienna 78 115Western 96 148Westmoreland 159 313Whitestown 95 195

2,677 4,754TotalOnondaga

Camillus 115 297Cicero 84 193Clay 61 190Dewitt 31 67Elbridge 125 329Fabius 134 292Geddes 2 4Lafayette 155 313Lysander 179 387Manlius 176 378Marcellus 131 299

Onondaga 163 408Otisco 94 238Pompey 169 391Salina 4 4Skaneateles 108 270Spafford 117 269Syracuse City 6 8Tully 104 241Van Buren 45 115

2,003 4,693TotalOntario

Bristol 271 776Canadice 246 586Canandaigua 204 549East Bloomfield 171 487Farmington 130 288Geneva 86 194Gorham 113 338Hopewell 86 194Manchester 101 279Naples 217 678Phelps 207 546Richmond 268 737Seneca 81 176South Bristol 168 360Victor 228 511West Bloomfield 96 318

2,673 7,017TotalOrange

Blooming Grove 146 456Chester 119 312Cornwall 66 152Crawford 208 444Deerpark 174 242Goshen 152 495Greenville 171 344Hamptonburgh 137 309Highlands 59 75Middletown City 32 79Minisink 115 312Monroe 67 165Montgomery 181 427Mount Hope 78 175New Windsor 127 305Newburgh 137 243Port Jervis Cit 6 8Tuxedo 59 81Wallkill 245 524Warwick 439 993Wawayanda 111 256Woodbury 31 62

2,860 6,459TotalOrleans

Albion 85 286Barre 223 612Carlton 96 254Clarendon 136 387Gaines 75 201Kendall 62 136Murray 136 318Ridgeway 170 443Shelby 220 566Yates 141 383

1,344 3,586TotalOswego

Albion 90 144Amboy 53 73Boylston 66 106Constantia 155 216

Fulton City 4 4Granby 124 253Hannibal 228 449Hastings 111 203Mexico 134 265Minetto 22 47New Haven 49 96Orwell 130 210Oswego 122 219Palermo 78 141Parish 127 195Redfield 145 189Richland 194 425Sandy Creek 160 319Schroeppel 91 190Scriba 124 239Volney 85 217West Monroe 76 190Williamstown 106 173

2,474 4,563TotalOtsego

Burlington 210 455Butternuts 155 286Cherry Valley 112 219Decatur 45 88Edmeston 212 414Exeter 174 275Hartwick 238 484Laurens 175 315Maryland 164 314Middlefield 173 300Milford 204 352Morris 158 375New Lisbon 158 264Oneonta 126 219Otego 118 263Otsego 178 319Pittsfield 96 189Plainfield 95 190Richfield 141 248Roseboom 73 158Springfield 164 296Unadilla 160 268Westford 74 146Worcester 114 241

3,517 6,678TotalPutnam

Carmel 97 174Kent 66 122Patterson 36 51Philipstown 72 123Putnam Valley 61 121Southeast 80 134

412 725TotalRensselaer

Berlin 135 169Brunswick 165 314East Greenbush 47 92Grafton 45 52Hoosick 280 522Nassau 158 250North Greenbush 46 92Petersburg 130 161Pittstown 239 483Poestenkill 97 150Rensselaer City 2 8Sand Lake 110 161Schaghticoke 154 250Schodack 232 413

Stephentown 39 46Troy City 9 9

1,888 3,172TotalRockland

Clarkstown 52 94Haverstraw 16 33Orangetown 37 52Ramapo 52 96Stony Point 32 65

189 340TotalSaratoga

Ballston 60 139Charlton 42 103Clifton Park 56 114Corinth 96 148Day 86 121Edinburg 80 138Galway 100 212Greenfield 119 144Hadley 53 66Halfmoon 45 122Malta 53 123Mechanicville C 3 18Milton 79 165Moreau 39 57Northumberland 42 64Providence 69 99Saratoga 109 237Saratoga City 6 14Stillwater 201 456Waterford 21 50Wilton 71 92

1,430 2,681TotalSchenectady

Duanesburg 175 270Glenville 128 156Niskayuna 6 11Princetown 39 51Rotterdam 79 113

427 601TotalSchoharie

Blenheim 41 93Broome 117 189Carlisle 79 149Cobleskill 108 166Conesville 66 109Esperance 67 104Fulton 110 191Gilboa 158 270Jefferson 185 309Middleburg 162 280Richmondville 112 209Schoharie 88 182Seward 75 152Sharon 129 214Summit 116 223Wright 82 133

1,695 2,973TotalSchuyler

Catharine 125 290Cayuta 38 90Dix 118 177Hector 381 762Montour 61 89Orange 162 278Reading 112 361Tyrone 222 565

1,219 2,612Total

SenecaCovert 99 180Fayette 60 123Junius 41 107Lodi 115 194Ovid 85 270Romulus 130 349Seneca Falls 59 188Tyre 77 272Varick 40 111Waterloo 95 252

801 2,046TotalSt Lawrence

Brasher 108 118Canton 173 251Clare 73 96Clifton 58 65Colton 120 143De Peyster 48 55Dekalb 107 134Edwards 92 130Fine 101 115Fowler 81 108Gouverneur 86 100Hammond 85 96Hermon 106 148Hopkinton 29 45Lawrence 71 88Lisbon 263 343Louisville 56 62Macomb 87 97Madrid 108 202Massena 54 65Morristown 129 170Norfolk 76 90Ogdensburg City 2 2Oswegatchie 141 168Parishville 167 204Piercefield 46 53Pierrepont 56 99Pitcairn 78 103Potsdam 189 320Rossie 36 39Russell 188 258Stockholm 129 171Waddington 115 154

3,258 4,292TotalSteuben

Addison 108 225Avoca 129 230Bath 327 554Bradford 151 207Cameron 261 409Campbell 109 199Canisteo 216 457Caton 146 287Cohocton 167 308Corning 111 183Dansville 159 280Erwin 96 185Fremont 82 140Greenwood 163 425Hartsville 172 376Hornby 97 188Hornell City 13 21Hornellsville 138 244Howard 275 489Jasper 179 393Lindley 167 290

Prattsburg 264 436Pulteney 97 227Rathbone 138 214Thurston 142 222Troupsburg 208 489Tuscarora 82 164Urbana 130 235Wayland 88 170Wayne 94 293West Union 106 340Wheeler 104 233Woodhull 306 616

5,025 9,729TotalSuffolk

Brookhaven 391 783East Hampton 138 427Huntington 73 144Islip 9 27Riverhead 203 415Shelter Island 59 254Smithtown 54 103Southampton 267 567Southold 162 486

1,356 3,206TotalSullivan

Bethel 261 405Callicoon 187 318Cochecton 147 231Delaware 124 225Fallsburgh 142 209Forestburg 63 86Fremont 217 293Highland 93 116Liberty 280 361Lumberland 91 96Mamakating 162 335Neversink 213 329Rockland 181 245Thompson 162 194Tusten 174 213

2,497 3,656TotalTioga

Barton 180 283Berkshire 90 235Candor 274 603Newark Valley 122 377Nichols 151 272Owego 398 780Richford 97 221Spencer 116 231Tioga 92 213

1,520 3,215TotalTompkins

Caroline 129 323Danby 181 376Dryden 252 616Enfield 97 225Groton 121 306Ithaca 82 157Lansing 161 405Newfield 228 529Ulysses 156 292

1,407 3,229TotalUlster

Denning 82 100Esopus 98 194Gardiner 109 200Hardenburgh 78 96Hurley 71 103

Kingston 15 26Kingston City 0 2Lloyd 99 188Marbletown 169 278Marlborough 81 155New Paltz 82 151Olive 137 216Plattekill 76 120Rochester 193 308Rosendale 54 112Saugerties 93 206Shandaken 67 74Shawangunk 218 397Ulster 56 79Wawarsing 243 442Woodstock 98 116

2,119 3,563TotalWarren

Bolton 55 66Chester 70 92Glens Falls Cit 2 2Hague 44 58Horicon 29 47Johnsburg 127 153Lake George 19 35Lake Luzerne 37 50Queensbury 57 71Stony Creek 49 58Thurman 65 75Warrensburg 75 103

629 810TotalWashington

Argyle 90 142Cambridge 173 297Dresden 75 103Easton 193 439Fort Ann 93 152Fort Edward 41 57Granville 182 287Greenwich 209 348Hampton 63 71Hartford 88 128Hebron 131 234Jackson 98 246Kingsbury 31 43Putnam 22 32Salem 177 353White Creek 131 229Whitehall 119 142

1,916 3,303TotalWayne

Arcadia 158 461Butler 108 290Galen 217 591Huron 101 323Lyons 167 451Macedon 135 313Marion 123 356Ontario 191 389Palmyra 188 455Rose 113 281Savannah 136 359Sodus 198 617Walworth 115 297Williamson 85 255Wolcott 144 510

2,179 5,948TotalWestchester

Bedford 78 180

Cortlandt 93 186Greenburgh 7 32Harrison 22 33Lewisboro 31 58Mamaroneck 0 2Mount Kisco 19 21Mount Pleasant 20 43New Castle 26 41North Castle 12 25North Salem 25 71Ossining 22 39Pelham 0 2Pound Ridge 40 105Rye 4 25Rye City 2 2Somers 68 141White Plains Ci 2 2Yorktown 103 250

574 1,258TotalWyoming

Arcade 190 436Attica 232 616Bennington 247 557Castile 164 411Covington 99 222Eagle 200 434Gainesville 189 501Genesee Falls 120 287Java 175 473Middlebury 265 646Orangeville 124 299Perry 118 350Pike 113 300Sheldon 171 453Warsaw 268 693Wethersfield 153 403

2,828 7,081TotalYates

Barrington 251 597Benton 132 363Italy 225 469Jerusalem 454 1,115Middlesex 200 542Milo 133 369Potter 185 587Starkey 165 531Torrey 62 127

1,808 4,701Total

Statewide Totals

Male Adults 107,006

Male Fawns 13,883

Female Adults 78,288

Female Fawns 13,884

Total 213,061

Adult BuckTake Density

by Town2016

Bucks Takenper Square Mile

0 - 1.0

1.1 - 2.0

2.1 - 3.0

3.1 - 4.0

4.0 - 6.0

> 6.1

No Deer Hunting

County2015

2015

Antlerless DeerTake Density

by Town2016

Deer Takenper Square Mile

0.1 - 1.0

1.1 - 2.0

2.1 - 4.0

4.1 - 6.0

6.1 - 8.0

> 8.1

No Deer Hunting

County

NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION

2016 Youth Big Game Hunt New York’s fifth Youth Big Game Hunt was held over Columbus Day weekend, October 8‐10, 2016. During the

youth big game hunt, 14‐15 year old junior hunters could take 1 deer, antlered or antlerless, or a bear with a

firearm when properly accompanied by a licensed and experienced adult mentor. See the Youth Hunt Photo

Gallery for pictures of successful junior hunters.

Key Results:

1,162 deer taken (60% antlered and 40% antlerless deer)

10 black bears taken (5 male and 5 female bears)

7,404 junior hunters participated, approximately 65% of

eligible junior hunters

Average harvest density was 2.8 deer per 100 square miles

Estimated deer harvest during the 2016 Youth Big Game Hunt in New York.

Zone and Tag Type Adult Male

Fawn Male

Adult Female

Fawn Female

Total

Northern Zone Total 75 5 22 5 107 Regular Big Game 74 3 12 3 92

Deer Management Permit 1 2 10 2 15 DMAP 0 0 0 0 0

Southern Zone Total 616 64 311 64 1,055 Regular Big Game 606 14 68 14 702


Statewide Total 691 69 333 69 1,162 Regular Big Game 680 17 80 17 794


PJ Doran and his dad, Pete Doran, Greene County, Youth Big Game Hunt.

Suffolk ‐ Westchester WMU

Aggregate(WMUs 1C, 3S)

WMU Aggregates are based on similar ecological features, human population density, land uses, and deer harvest history.

WMU aggregates provide reasonable sample sizes and scale for biological monitoring of the deer popopulation.

01020304050607080

%

1.5 2.5 ≥3.5

Age Distribution of Adult Buck Take

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Ratio: Antlerless/Buck Does & Fawns Seen Adult Bucks Seen

Deer Sighting Rates - Bowhunter Sighting Log

141516171819202122

Yearling Beam Diameter (mm)

0.000.100.200.300.400.500.600.70

Fawns per Adult Doe in Harvest

01020304050607080

%

1.5 2.5 ≥3.5

Age Distribution of Adult Doe Take

: 1: 1: 1: 1: 1: 1: 1: 1: 1

DEPARTMENT OF ENVIRONMENTAL CONSERVATIONNEW YORK STATE

Catskills WMU Aggregate

(WMUs 3A, 4G, 4H, 4R)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50

0.60Fawns per Adult Doe in Harvest

01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Biased high by mandatory antler restrictions in several units

Del‐Sullivan WMU Aggregate

(WMUs 3H, 3K, 4P, 4W)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Biased high by mandatory antler restrictions

Del‐Otsego WMU Aggregate

(WMUs 4F, 4O)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1



Mohawk Valley WMU

Aggregate(WMUs 4A, 6R, 6S)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


NE Hudson WMU Aggregate

(WMUs 4C, 4K, 4L, 4U, 5S, 5T)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


NW Hudson WMU Aggregate

(WMUs 4B, 4J, 4S, 4T, 4Y, 5R)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


SE Hudson WMU Aggregate

(WMUs 3F, 3G, 3N, 4Z)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


SW Hudson WMU Aggregate

(WMUs 3C, 3J, 3M, 3P, 3R)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1



Adirondacks WMU Aggregate

(WMUs 5A, 5C, 5F, 5G, 5H, 5J, 6F, 6J, 6N)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Low Sample Size

E Lake Plains WMU

Aggregate(WMUs 6G, 6K)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


St. Lawrence Valley WMU

Aggregate(WMUs 6A, 6C, 6H)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Low Sample Size

Central NY WMU Aggregate

(WMUs 6P, 7A, 7F)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Mid Lake Plains WMU

Aggregate(WMUs 8C, 8F, 8H, 8M)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


W Lake Plains WMU

Aggregate(WMUs 8A, 8G, 9A, 9F)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


NE Appalachian Hills WMU

Aggregate(WMU 7J)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Central Finger Lakes WMU

Aggregate(WMUs 7H, 8J, 8S)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


W Finger Lakes WMU

Aggregate(WMUs 8N, 8R)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


NW Appalachian Hills WMU

Aggregate(WMUs 9G, 9H, 9M, 9N)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


W Appalachian Hills WMU

Aggregate(WMUs 9J, 9K, 9R)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


E Appalachian Plateau WMU

Aggregate(WMUs 7M, 7P)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Central Appalachian Plateau

WMU Aggregate(WMUs 7R, 7S, 8X, 8Y, 9Y)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


W Appalachian Plateau WMU

Aggregate(WMUs 8P, 8T, 8W, 9P, 9S, 9T, 9W, 9X)



01020304050607080

%

1.5 2.5 ≥3.5


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141516171819202122


0.00

0.10

0.20

0.30

0.40

0.50


01020304050607080

%

1.5 2.5 ≥3.5


: 1: 1: 1: 1: 1: 1: 1: 1: 1


Note: Southern Zone includes Westchester County, where bowhunting season ended 12/31/16.

NEW YORK STATE


Reported Deer Take by Day ‐ 2016

0%

5%

10%

15%

20%

10/1 10/8 10/15 10/22 10/29 11/5 11/12 11/19 11/26 12/3 12/10 12/17 12/24 12/31

% of Rep

orted

Total (all seasons)

Southern Zone

< 0.1%

0%

1%

2%

3%

4%

5%

6%

7%

9/27 10/4 10/11 10/18 10/25 11/1 11/8 11/15 11/22 11/29 12/6

% of Rep

orted

Total (all seasons)

Northern Zone

0%

2%

4%

6%

8%

10/1 10/8 10/15 10/22 10/29 11/5 11/12

% of Bow Take

Southern Zone Early Bow Season

NZ SE CW SE CW

44.4 45.1 47.0 42.3 40.9 43.5

44.9 43.9 46.1 41.3 42.2 44.0

Note: NYS laws and regulations require all successful deer hunters to report their harvest within 7 days.

Bow

45,275

21.3%

21.7%

Deer Take by Implement

2016

Average

(2011 ‐ 2015)

Deer

Management

Assistance

Program

84.0

84.9

Bow &

Muzzleloader

46.2

46.7

NEW YORK STATE


Deer Hunter Reporting Rates

Regular Big Game DMP Total

MuzzleloaderRifle & Shotgun

Estimated Take 138,234 19,282

2016

9,439

4.4%

1.3%

CrossbowHandgun

831

% of Reported Take

5‐year Average %

64.9%

65.8%

9.1%

10.6%

0.4%

0.6%Note: Estimated take by implement is a rough approximation obtained by multiplying the proportion of reported take (for each

implement) by the total calculated harvest.

± 0.0 %

± 0.5 %

± 1.0 %

± 1.5 %

± 2.0 %

± 2.5 %

± 3.0 %

0%

20%

40%

60%

80%

100%

Reporting Rate & Precision of Harvest Estimate

ReportingRate

95% Confidence Interval

1st 2nd Bonus Total

1C 903.3 Maximize 4,849 9,268 857 14,974 16.6 1,631 1.8 10.9%3A 694.3 0 0 0 0 0.0 0 0.0 NA3C 316.1 1,500 1,476 0 1,476 4.7 204 0.6 13.8%3F 331.7 4,500 2,969 2,219 5,188 15.6 493 1.5 9.5%3G 457.1 1,900 1,882 0 1,882 4.1 251 0.5 13.3%3H 554.1 1,100 1,050 0 1,050 1.9 257 0.5 24.5%3J 355.6 5,000 4,289 973 5,262 14.8 690 1.9 13.1%3K 381.0 150 167 0 167 0.4 33 0.1 19.8%3M 749.2 30,100 10,664 19,870 30,534 40.8 3,534 4.7 11.6%3N 222.8 2,800 2,373 526 2,899 13.0 252 1.1 8.7%3P 125.1 700 690 0 690 5.5 45 0.4 6.5%3R 206.1 2,300 976 1,400 2,376 11.5 125 0.6 5.3%3S 430.8 Maximize 2,355 4,092 121 6,568 15.2 589 1.4 9.0%4A 430.1 1,800 1,753 0 1,753 4.1 468 1.1 26.7%4B 161.5 2,200 1,853 351 2,204 13.6 249 1.5 11.3%4C 164.8 1,000 989 0 989 6.0 239 1.5 24.2%4F 1,161.0 13,500 14,133 0 14,133 12.2 3,024 2.6 21.4%4G 370.5 2,000 1,976 0 1,976 5.3 459 1.2 23.2%4H 289.8 1,300 1,271 0 1,271 4.4 312 1.1 24.5%4J 148.9 Maximize 523 2,326 46 2,895 19.4 243 1.6 8.4%4K 255.9 1,200 1,197 0 1,197 4.7 246 1.0 20.6%4L 220.8 0 0 0 0 0.0 0 0.0 NA4O 760.5 1,200 1,233 0 1,233 1.6 405 0.5 32.8%4P 361.4 1,700 1,664 0 1,664 4.6 503 1.4 30.2%4R 290.2 1,300 1,283 0 1,283 4.4 228 0.8 17.8%4S 220.0 300 288 0 288 1.3 74 0.3 25.7%4T 131.8 3,500 1,946 1,732 3,678 27.9 408 3.1 11.1%4U 127.0 100 96 0 96 0.0 25 0.2 26.0%4W 443.2 900 915 0 915 2.1 216 0.5 23.6%4Y 176.5 2,900 2,737 160 2,897 16.4 383 2.2 13.2%4Z 250.7 500 555 0 555 0 132 0.5 23.8%5A 609.8 NA NA NA NA NA NA NA NA5C 1,125.7 NA NA NA NA NA NA NA NA5F 1,328.3 NA NA NA NA NA NA NA NA5G 1,112.6 NA NA NA NA NA NA NA NA5H 3,046.5 NA NA NA NA NA NA NA NA5J 674.3 NA NA NA NA NA NA NA NA5R 373.0 8,600 4,920 4,235 9,155 24.5 826 2.2 9.0%5S 421.9 1,200 1,185 0 1,185 2.8 361 0.9 30.5%5T 223.4 0 0 0 0 0 0 0.0 NA6A 1,471.7 0 0 0 0 0.0 0 0.0 NA6C 976.7 1,600 1,563 0 1,563 1.6 322 0.3 20.6%6F 1,213.0 NA NA NA NA NA NA NA NA6G 933.2 13,000 9,139 4,167 13,306 14.3 2,296 2.5 17.3%6H 172.6 700 895 0 895 5.2 103 0.6 11.5%6J 1,576.3 NA NA NA NA NA NA NA NA6K 1,161.2 4,800 4,736 0 4,736 4.1 1,170 1.0 24.7%6N 491.4 NA NA NA NA NA NA NA NA6P 203.0 4,500 1,902 3,427 5,329 26.3 447 2.2 8.4%6R 541.8 6,000 5,910 352 6,262 11.6 1,060 2.0 16.9%6S 589.1 5,500 5,581 350 5,931 10.1 1,209 2.1 20.4%

WMU


NEW YORK STATE

Deer Management Permit Summary ‐ 2016

Area (mi2)

DMPs

Issued per

mi2

DMP Take

per mi2DMP Take

Total DMPs IssuedDMP Target

DMP

Success

1st 2nd Bonus TotalWMU Area (mi

2)

DMPs

Issued per

mi2

DMP Take

per mi2DMP Take

Total DMPs IssuedDMP Target

DMP

Success

7A 544.9 5,800 6,084 0 6,084 11.2 1,179 2.2 19.4%7F 687.2 20,900 7,522 14,540 22,062 32.1 2,165 3.2 9.8%7H 357.2 11,200 5,031 6,419 11,450 32.1 1,206 3.4 10.5%7J 838.9 27,100 7,348 20,870 28,218 33.6 3,299 3.9 11.7%7M 1,242.3 16,500 17,670 0 17,670 14.2 3,159 2.5 17.9%7P 484.8 2,900 2,855 0 2,855 5.9 575 1.2 20.1%7R 739.3 23,400 7,133 18,627 25,760 34.8 2,725 3.7 10.6%7S 662.7 9,100 9,050 429 9,479 14.3 1,406 2.1 14.8%8A 419.0 13,300 7,084 6,459 13,543 32.3 1,647 3.9 12.2%8C 138.1 Maximize 275 433 97 805 5.8 119 0.9 14.8%8F 733.0 24,100 10,334 14,050 24,384 33.3 3,626 4.9 14.9%8G 686.2 33,500 14,313 19,301 33,614 49.0 4,301 6.3 12.8%8H 574.0 22,200 9,751 12,499 22,250 38.8 3,896 6.8 17.5%8J 711.9 21,300 9,579 12,430 22,009 30.9 2,990 4.2 13.6%8M 307.4 6,300 5,408 1,155 6,563 21.4 1,377 4.5 21.0%8N 314.3 30,200 12,509 17,776 30,285 96.4 3,011 9.6 9.9%8P 356.2 2,500 2,465 0 2,465 6.9 445 1.2 18.1%8R 270.0 16,500 5,860 10,930 16,790 62.2 2,468 9.1 14.7%8S 256.2 2,600 2,776 0 2,776 10.8 498 1.9 17.9%8T 385.2 1,500 1,466 0 1,466 3.8 399 1.0 27.2%8W 439.5 2,600 2,563 0 2,563 5.8 476 1.1 18.6%8X 400.5 8,500 6,907 1,886 8,793 22.0 1,447 3.6 16.5%8Y 354.2 4,900 5,132 0 5,132 14.5 768 2.2 15.0%9A 461.6 21,500 6,834 10,422 17,256 37.4 1,188 2.6 6.9%9F 277.0 12,600 5,162 7,703 12,865 46.4 902 3.3 7.0%9G 229.9 7,300 1,854 4,979 6,833 29.7 665 2.9 9.7%9H 973.1 29,500 14,362 15,095 29,457 30.3 4,803 4.9 16.3%9J 693.6 14,200 10,083 4,099 14,182 20.4 2,290 3.3 16.1%9K 446.4 4,800 4,772 0 4,772 10.7 1,064 2.4 22.3%9M 329.7 7,800 7,151 1,586 8,737 26.5 1,312 4.0 15.0%9N 207.1 5,000 4,081 2,776 6,857 33.1 779 3.8 11.4%9P 581.5 2,200 2,112 0 2,112 3.6 577 1.0 27.3%9R 217.6 700 687 0 687 3.2 80 0.4 11.6%9S 91.5 300 294 0 294 3.2 38 0.4 12.9%9T 248.4 700 674 0 674 2.7 134 0.5 19.9%9W 250.1 2,800 2,763 0 2,763 11.0 455 1.8 16.5%9X 219.1 600 571 0 571 2.6 153 0.7 26.8%9Y 124.8 2,800 2,899 0 2,899 23.2 373 3.0 12.9%

Total (units with a target) 551,050 319,395 243,793 563,188 17.7 78,925 2.5 14.0%

Total (all units) 327,397 259,912 1,121 588,430 17.1 81,507 2.4 13.9%

Note: DMP targets are not established for Long Island (WMU 1C), bowhunting‐only units (WMUs 3S, 4J, 8C), or in Adirondack units where DMPs cannot

be offered ( WMUs 5A, 5C, 5F, 5G, 5H, 5J, 6F, 6J, and 6N).

0%

5%

10%

15%

20%

25%

0100200300400500600700800

2002 2004 2006 2008 2010 2012 2014 2016

Success

# DMPs

Thousands

NYS Deer Management Permits

DMPs Issued DMP Success

Statewide Summary 2009‐2016

Year

2009 3.7

2010 5.2

2011 4.7

2012 4.7

2013 5.2

2014 5.8

2015 4.9

2016 4.6

2016 DMAP Summary by DEC Region

1 3 4 5 6 7 8 9 Total

Applications

Approved2 133 158 204 206 149 736 379 1,967

Deer Take 125 778 1,088 930 1,196 793 2,679 1,545 9,134

Average Deer Take

per Permit162.5 5.8 6.9 4.6 5.8 5.3 3.6 4.1 4.6

2016 DMAP Summary by DEC Region and Type of Complaint

1 3 4 5 6 7 8 9 Total

Agriculture 0 84 124 155 167 130 676 309 1,645

Municipal 1 2 2 0 2 0 1 2 10

Significant Natural

Community0 4 1 1 1 3 0 2 12

Forest Regeneration 1 38 25 42 25 12 52 62 257

Custom Deer Mgmt 0 5 6 6 11 4 7 4 43

NEW YORK STATE


Deer Management Assistance Program (DMAP)

The Deer Management Assistance Program enables DEC to help landowners and resource managers implement

site‐specific deer management on their lands. DMAP permits are valid for use only during the open deer

hunting seasons and can only be used by licensed hunters. More information about DMAP can be found at

www.dec.ny.gov/animals/33973.html.

Permits Tags Issued Deer Harvested

Average # Deer Taken

per Permit

9,134

2,616 26,275 9,789

2,364 21,957 12,384

2,312 21,720 10,767

2,231 20,927 10,497

1 The number of carcass tags with each DMAP permit varies by need and property size. Individual hunters may generally only use 2

DMAP tags per permit unless specified on the permit.

2 Permits may be issued for more than one category of complaint, so the sum of categories may not equal total applications approved in

each region.

2,345 22,661 12,285

2,190 21,222 12,627

2,220 22,353 10,847

DEC Region

Category2

DEC Region

1,967 19,584

Statewide Summary 2009‐2016

2016 Deer Damage Summary by DEC Region

1 3 4 5 6 7 8 9 Total131 133 78 42 42 116 805 231 1,5781664 384 313 52 105 643 1,687 840 5,688

12.7 2.9 4.0 1.2 2.5 5.5 2.1 3.6 3.6

2016 Deer Damage Summary by DEC Region and Type of Complaint

1 3 4 5 6 7 8 9 Total*3 9 2 0 7 1 7 8 3755 80 86 32 29 79 627 154 1,14264 42 22 14 5 35 201 49 43257 24 3 6 1 7 35 24 157

11 1 0 0 0 6 0 0 18* Permits may be issued for more than one category of damage, so the sum of permit categories may not equal the total.

DEC Region

Permits Issued

Tree Farm / OrchardCommunity / Residential

Park / Preserve

Reported Deer Take

Average Take per Permit

CategoryDEC Region

AirportAgriculture

2016 1,578 5,688 3.61,608 5,588 3.52015

2013 1,640 5,104 3.12014 1,684 6,076 3.6

2011 1,481 5,007 3.42012 1,544 5,046 3.3

2009 1,358 4,468 3.32010 1,337 4,445 3.3

Deer Damage Permits (DDPs) are issued by DEC to reduce deer‐related damage on individual properties while damage is

occurring, generally outside of hunting seasons. DDPs typically authorize removal of antlerless deer only, though take of

antlered deer is authorized for some permits. DDPs authorize deer culling, not deer hunting. The reported take on DDPs is

not included in annual deer harvest totals. More information can be found at http://www.dec.ny.gov/animals/104956.html.

Year Permits Issued Reported TakeAverage Take per

Permit

NEW YORK STATE


Deer Damage Permit Summary

0

25

50

75

100

125

150

175

# Antlerless Deer Thousands

Antlerless Deer Take by Permit Type

DDP*

DMAP Hunting

Other Hunting(DMPs, Bow,Muzzleloader)

* DDP take may include asmall fraction of antlered deer


Statewide TotalCALCULATED LEGAL DEER TAKE IN NEW YORK STATE

NEW YORK STATE

YEAR ADULTS FAWNS ADULTS FAWNS TOTAL

..............MALES............ ...........FEMALES.........

2016 107,006 13,883 78,288 13,884 213,061

2015 99,572 15,389 75,157 12,855 202,973

2014 108,604 20,848 90,321 18,899 238,672

2013 114,716 22,395 88,634 17,822 243,567

2012 118,993 20,263 86,644 17,057 242,957

2011 110,002 19,793 82,090 16,474 228,359

2010 106,960 21,131 84,806 17,203 230,100

2009 102,057 19,710 84,330 16,701 222,798

2008 105,747 20,000 79,953 17,279 222,979

2007 104,451 21,096 76,367 17,227 219,141

2006 96,569 18,336 60,102 14,101 189,108

2005 89,015 16,373 61,179 13,647 180,214

2004 88,733 21,022 80,196 18,455 208,406

2003 107,533 26,883 94,376 24,296 253,088

2002 128,292 36,958 113,317 29,649 308,216

2001 127,084 31,414 100,800 22,572 281,870

2000 140,857 31,317 98,265 25,420 295,859

1999 125,392 26,305 84,432 19,830 255,959

1998 121,911 23,652 67,672 17,523 230,758

1997 119,090 21,811 58,772 17,163 216,836

1996 104,689 22,781 59,161 16,134 202,765

1995 113,566 16,670 45,648 12,400 188,284

1994 89,328 18,460 45,106 12,789 165,683

1993 102,431 26,408 71,340 20,109 220,288

1992 117,984 28,257 64,385 22,518 233,144

1991 110,701 24,326 58,765 18,841 212,633

1990 103,258 20,314 51,757 15,481 190,810

1989 99,589 20,600 45,623 16,067 181,879

1988 92,987 23,804 58,464 18,209 193,464

1987 97,595 25,883 59,577 21,660 204,715

1986 90,719 21,622 48,665 17,707 178,713

1985 80,732 17,167 36,972 14,212 149,083

1984 77,596 21,676 53,174 17,864 170,310

1983 79,746 20,082 51,111 16,510 167,449

1982 78,460 24,436 62,338 20,221 185,455

1981 83,669 19,558 46,962 16,133 166,322

YEAR ADULTS FAWNS ADULTS FAWNS TOTAL

..............MALES............ ...........FEMALES.........

1980 75,441 14,177 35,100 11,537 136,255

1979 59,086 7,855 20,685 6,433 94,059

1978 51,872 7,549 19,921 6,217 85,559

1977 55,880 6,407 15,631 5,286 83,204

1976 54,879 7,808 21,140 6,388 90,215

1975 59,055 9,496 26,937 7,737 103,225

1974 63,266 8,944 23,786 7,307 103,303

1973 49,979 5,849 14,776 4,775 75,379

1972 41,071 3,571 8,130 2,866 55,638

1971 35,821 3,109 6,852 2,508 48,290

1970 36,538 6,450 16,648 5,377 65,013

1969 48,064 8,668 24,061 7,336 88,129

1968 54,010 8,063 23,219 6,873 92,165

1967 51,291 5,684 16,790 4,890 78,655

1966 43,936 6,550 18,121 5,550 74,157

1965 43,846 5,379 13,670 4,525 67,420

1964 35,814 5,444 14,958 4,540 60,756

1963 37,195 6,071 15,496 5,105 63,867

1962 38,782 4,718 15,246 4,035 62,781

1961 36,905 4,490 13,201 3,858 58,454

1960 34,065 1,924 8,079 1,687 45,755

1959 29,606 2,817 7,368 2,515 42,306

1958 35,684 6,815 18,168 5,802 66,469

1957 41,367 7,668 17,214 6,428 72,677

1956 35,592 9,157 19,993 7,573 72,315

1955 40,082 5,250 9,999 4,201 59,532

1954 36,625 314 1,314 296 38,549

New York State Deer Harvest

0

50,000

100,000

150,000

200,000

250,000

300,000

350,000

1954

1956

1958

1960

1962

1964

1966

1968

1970

1972

1974

1976

1978

1980

1982

1984

1986

1988

1990

1992

1994

1996

1998

2000

2002

2004

2006

2008

2010

2012

2014

2016

Adult Male

Adult Female

Total

NEW YORK STATE DEPARTMENT OF ENVIRONMENTAL CONSERVATION

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