{"id":370125,"date":"2025-11-10T22:14:13","date_gmt":"2025-11-10T22:14:13","guid":{"rendered":"https:\/\/www.europesays.com\/us\/370125\/"},"modified":"2025-11-10T22:14:13","modified_gmt":"2025-11-10T22:14:13","slug":"maryland-reports-2025-early-deer-season-results","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/us\/370125\/","title":{"rendered":"Maryland Reports 2025 Early Deer Season Results"},"content":{"rendered":"

\t\t\t\tMaryland Reports 2025 Early Deer Season Results
\n\t\t\t\tNovember 10, 2025<\/p>\n

Deer hunting opportunities still abound for the rest of the year<\/p>\n

\"Two<\/p>\n

Photo by Reinhardt Sahmel, submitted to the 2017 Maryland DNR Photo Contest.<\/p>\n

Maryland hunters harvested 18,930 deer during the early portion of the 2025 archery and muzzleloader seasons. The harvest was an 8.1% decrease from last year\u2019s official harvest of 20,592 deer for the same period.<\/p>\n

The annual deer harvest fluctuates from year to year for a number of reasons, including hunter effort, weather conditions, availability of natural foods like acorns, disease outbreaks, and current population size of the herd.\u00a0<\/p>\n

\u201cMany areas saw an abundant acorn crop, which likely reduced deer movements, making deer less visible and harder to hunt,\u201d said Maryland Department of Natural Resources<\/a>\u2019\u00a0Wildlife and Heritage Service Director, Karina Stonesifer. \u201cThough harvest is down compared to 2024, our 2025 harvest seems to be tracking close to what we have experienced in past seasons.\u201d<\/p>\n

Along with the annual deer firearm season, archery and muzzleloader deer hunting are essential components of the state\u2019s deer management program and assist with controlling abundant deer populations across Maryland.<\/p>\n

The two-month harvest included 9,984 deer taken during the\u00a0archery season<\/a>\u00a0and 8,947 harvested during the\u00a0October muzzleloader season<\/a>. The archery harvest decreased by 19%, while the muzzleloader harvest increased 9% compared to the previous year. The sika deer harvest decreased 8% from 1,764 deer to 1,616 deer.<\/p>\n

Multiple central and southern Maryland counties experienced significant outbreaks of epizootic hemorrhagic disease<\/a> this summer and fall. As a result, the disease likely reduced local deer populations and may have contributed to the lower harvests in those areas.<\/p>\n

Hunters harvested 793 deer on Sundays that were open to archery hunting, accounting for 8% of the total archery harvest.<\/p>\n

Below are the total harvests for deer seasons from Sept. 5 through Oct. 31.:<\/p>\n\n\n

Antlered<\/p>\n<\/td>\n\u00a0<\/td>\n\n

Antlerless<\/p>\n<\/td>\n\u00a0<\/td>\n\n

Total<\/p>\n<\/td>\n\u00a0<\/td>\n<\/tr>\n\n\u00a0<\/td>\n\n

2025<\/p>\n<\/td>\n\n

2024<\/p>\n<\/td>\n\n

%Change<\/p>\n<\/td>\n\u00a0<\/td>\n\n

2025<\/p>\n<\/td>\n\n

2024<\/p>\n<\/td>\n\n

%Change<\/p>\n<\/td>\n\u00a0<\/td>\n\n

2025<\/p>\n<\/td>\n\n

2024<\/p>\n<\/td>\n\n

%Change<\/p>\n<\/td>\n<\/tr>\n\nAllegany<\/td>\n\n

445<\/p>\n<\/td>\n\n

465<\/p>\n<\/td>\n\n

-4.3%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

294<\/p>\n<\/td>\n\n

404<\/p>\n<\/td>\n\n

-27.2%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

739<\/p>\n<\/td>\n\n

869<\/p>\n<\/td>\n\n

-15.0%<\/p>\n<\/td>\n<\/tr>\n\nAnne Arundel<\/td>\n\n

184<\/p>\n<\/td>\n\n

253<\/p>\n<\/td>\n\n

-27.3%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

258<\/p>\n<\/td>\n\n

399<\/p>\n<\/td>\n\n

-35.3%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

442<\/p>\n<\/td>\n\n

652<\/p>\n<\/td>\n\n

-32.2%<\/p>\n<\/td>\n<\/tr>\n\nBaltimore<\/td>\n\n

664<\/p>\n<\/td>\n\n

609<\/p>\n<\/td>\n\n

9.0%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

993<\/p>\n<\/td>\n\n

970<\/p>\n<\/td>\n\n

2.4%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1,657<\/p>\n<\/td>\n\n

1,579<\/p>\n<\/td>\n\n

4.9%<\/p>\n<\/td>\n<\/tr>\n\nCalvert<\/td>\n\n

172<\/p>\n<\/td>\n\n

163<\/p>\n<\/td>\n\n

5.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

204<\/p>\n<\/td>\n\n

284<\/p>\n<\/td>\n\n

-28.2%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

376<\/p>\n<\/td>\n\n

447<\/p>\n<\/td>\n\n

-15.9%<\/p>\n<\/td>\n<\/tr>\n\nCaroline<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n\nwhitetail<\/td>\n\n

182<\/p>\n<\/td>\n\n

167<\/p>\n<\/td>\n\n

9.0%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

297<\/p>\n<\/td>\n\n

393<\/p>\n<\/td>\n\n

-24.4%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

479<\/p>\n<\/td>\n\n

560<\/p>\n<\/td>\n\n

-14.5%<\/p>\n<\/td>\n<\/tr>\n\nsika<\/td>\n\n

1<\/p>\n<\/td>\n\n

0<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

0<\/p>\n<\/td>\n\n

0<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1<\/p>\n<\/td>\n\n

0<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n<\/tr>\n\nCarroll<\/td>\n\n

587<\/p>\n<\/td>\n\n

517<\/p>\n<\/td>\n\n

13.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

804<\/p>\n<\/td>\n\n

845<\/p>\n<\/td>\n\n

-4.9%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1,391<\/p>\n<\/td>\n\n

1,362<\/p>\n<\/td>\n\n

2.1%<\/p>\n<\/td>\n<\/tr>\n\nCecil<\/td>\n\n

406<\/p>\n<\/td>\n\n

345<\/p>\n<\/td>\n\n

17.7%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

510<\/p>\n<\/td>\n\n

546<\/p>\n<\/td>\n\n

-6.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

916<\/p>\n<\/td>\n\n

891<\/p>\n<\/td>\n\n

2.8%<\/p>\n<\/td>\n<\/tr>\n\nCharles<\/td>\n\n

260<\/p>\n<\/td>\n\n

340<\/p>\n<\/td>\n\n

-23.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

335<\/p>\n<\/td>\n\n

490<\/p>\n<\/td>\n\n

-31.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

595<\/p>\n<\/td>\n\n

830<\/p>\n<\/td>\n\n

-28.3%<\/p>\n<\/td>\n<\/tr>\n\nDorchester<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n\nwhitetail<\/td>\n\n

144<\/p>\n<\/td>\n\n

110<\/p>\n<\/td>\n\n

30.9%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

166<\/p>\n<\/td>\n\n

242<\/p>\n<\/td>\n\n

-31.4%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

310<\/p>\n<\/td>\n\n

352<\/p>\n<\/td>\n\n

-11.9%<\/p>\n<\/td>\n<\/tr>\n\nsika<\/td>\n\n

789<\/p>\n<\/td>\n\n

805<\/p>\n<\/td>\n\n

-2.0%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

648<\/p>\n<\/td>\n\n

732<\/p>\n<\/td>\n\n

-11.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1,437<\/p>\n<\/td>\n\n

1,537<\/p>\n<\/td>\n\n

-6.5%<\/p>\n<\/td>\n<\/tr>\n\nFrederick<\/td>\n\n

673<\/p>\n<\/td>\n\n

692<\/p>\n<\/td>\n\n

-2.7%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

870<\/p>\n<\/td>\n\n

856<\/p>\n<\/td>\n\n

1.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1,543<\/p>\n<\/td>\n\n

1,548<\/p>\n<\/td>\n\n

-0.3%<\/p>\n<\/td>\n<\/tr>\n\nGarrett<\/td>\n\n

845<\/p>\n<\/td>\n\n

807<\/p>\n<\/td>\n\n

4.7%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

481<\/p>\n<\/td>\n\n

563<\/p>\n<\/td>\n\n

-14.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1,326<\/p>\n<\/td>\n\n

1,370<\/p>\n<\/td>\n\n

-3.2%<\/p>\n<\/td>\n<\/tr>\n\nHarford<\/td>\n\n

383<\/p>\n<\/td>\n\n

392<\/p>\n<\/td>\n\n

-2.3%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

578<\/p>\n<\/td>\n\n

644<\/p>\n<\/td>\n\n

-10.2%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

961<\/p>\n<\/td>\n\n

1,036<\/p>\n<\/td>\n\n

-7.2%<\/p>\n<\/td>\n<\/tr>\n\nHoward<\/td>\n\n

281<\/p>\n<\/td>\n\n

222<\/p>\n<\/td>\n\n

26.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

440<\/p>\n<\/td>\n\n

429<\/p>\n<\/td>\n\n

2.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

721<\/p>\n<\/td>\n\n

651<\/p>\n<\/td>\n\n

10.8%<\/p>\n<\/td>\n<\/tr>\n\nKent<\/td>\n\n

330<\/p>\n<\/td>\n\n

268<\/p>\n<\/td>\n\n

23.1%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

332<\/p>\n<\/td>\n\n

412<\/p>\n<\/td>\n\n

-19.4%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

662<\/p>\n<\/td>\n\n

680<\/p>\n<\/td>\n\n

-2.6%<\/p>\n<\/td>\n<\/tr>\n\nMontgomery<\/td>\n\n

334<\/p>\n<\/td>\n\n

371<\/p>\n<\/td>\n\n

-10.0%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

640<\/p>\n<\/td>\n\n

624<\/p>\n<\/td>\n\n

2.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

974<\/p>\n<\/td>\n\n

995<\/p>\n<\/td>\n\n

-2.1%<\/p>\n<\/td>\n<\/tr>\n\nPrince George\u2019s<\/td>\n\n

128<\/p>\n<\/td>\n\n

203<\/p>\n<\/td>\n\n

-36.9%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

142<\/p>\n<\/td>\n\n

318<\/p>\n<\/td>\n\n

-55.3%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

270<\/p>\n<\/td>\n\n

521<\/p>\n<\/td>\n\n

-48.2%<\/p>\n<\/td>\n<\/tr>\n\nQueen Anne\u2019s<\/td>\n\n

259<\/p>\n<\/td>\n\n

213<\/p>\n<\/td>\n\n

21.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

406<\/p>\n<\/td>\n\n

501<\/p>\n<\/td>\n\n

-19.0%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

665<\/p>\n<\/td>\n\n

714<\/p>\n<\/td>\n\n

-6.9%<\/p>\n<\/td>\n<\/tr>\n\nSt. Mary\u2019s<\/td>\n\n

274<\/p>\n<\/td>\n\n

290<\/p>\n<\/td>\n\n

-5.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

323<\/p>\n<\/td>\n\n

479<\/p>\n<\/td>\n\n

-32.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

597<\/p>\n<\/td>\n\n

769<\/p>\n<\/td>\n\n

-22.4%<\/p>\n<\/td>\n<\/tr>\n\nSomerset<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n\nwhitetail<\/td>\n\n

140<\/p>\n<\/td>\n\n

135<\/p>\n<\/td>\n\n

3.7%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

189<\/p>\n<\/td>\n\n

244<\/p>\n<\/td>\n\n

-22.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

329<\/p>\n<\/td>\n\n

379<\/p>\n<\/td>\n\n

-13.2%<\/p>\n<\/td>\n<\/tr>\n\nsika<\/td>\n\n

10<\/p>\n<\/td>\n\n

9<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

3<\/p>\n<\/td>\n\n

4<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

13<\/p>\n<\/td>\n\n

13<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n<\/tr>\n\nTalbot<\/td>\n\n

159<\/p>\n<\/td>\n\n

142<\/p>\n<\/td>\n\n

12.0%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

171<\/p>\n<\/td>\n\n

254<\/p>\n<\/td>\n\n

-32.7%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

330<\/p>\n<\/td>\n\n

396<\/p>\n<\/td>\n\n

-16.7%<\/p>\n<\/td>\n<\/tr>\n\nWashington<\/td>\n\n

631<\/p>\n<\/td>\n\n

626<\/p>\n<\/td>\n\n

0.8%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

549<\/p>\n<\/td>\n\n

650<\/p>\n<\/td>\n\n

-15.5%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

1,180<\/p>\n<\/td>\n\n

1,276<\/p>\n<\/td>\n\n

-7.5%<\/p>\n<\/td>\n<\/tr>\n\nWicomico<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n\nwhitetail<\/td>\n\n

166<\/p>\n<\/td>\n\n

185<\/p>\n<\/td>\n\n

-10.3%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

265<\/p>\n<\/td>\n\n

357<\/p>\n<\/td>\n\n

-25.8%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

431<\/p>\n<\/td>\n\n

542<\/p>\n<\/td>\n\n

-20.5%<\/p>\n<\/td>\n<\/tr>\n\nsika<\/td>\n\n

70<\/p>\n<\/td>\n\n

94<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

49<\/p>\n<\/td>\n\n

65<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

119<\/p>\n<\/td>\n\n

159<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n<\/tr>\n\nWorcester<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n\u00a0<\/td>\n\n

\u00a0<\/p>\n<\/td>\n<\/tr>\n\nwhitetail<\/td>\n\n

193<\/p>\n<\/td>\n\n

171<\/p>\n<\/td>\n\n

12.9%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

227<\/p>\n<\/td>\n\n

238<\/p>\n<\/td>\n\n

-4.6%<\/p>\n<\/td>\n\u00a0<\/td>\n\n

420<\/p>\n<\/td>\n\n

409<\/p>\n<\/td>\n\n

2.7%<\/p>\n<\/td>\n<\/tr>\n\nsika<\/td>\n\n

14<\/p>\n<\/td>\n\n

25<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

32<\/p>\n<\/td>\n\n

30<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n\u00a0<\/td>\n\n

46<\/p>\n<\/td>\n\n

55<\/p>\n<\/td>\n\n

*<\/p>\n<\/td>\n<\/tr>\n\nTotal<\/strong><\/td>\n\n

8,724<\/b><\/p>\n<\/td>\n\n

8,619<\/b><\/p>\n<\/td>\n\n

1.2%<\/b><\/p>\n<\/td>\n\u00a0<\/td>\n\n

10,206<\/b><\/p>\n<\/td>\n\n

11,973<\/b><\/p>\n<\/td>\n\n

-14.8%<\/b><\/p>\n<\/td>\n\u00a0<\/td>\n\n

18,930<\/b><\/p>\n<\/td>\n\n

20,592<\/b><\/p>\n<\/td>\n\n

-8.1%<\/b><\/p>\n<\/td>\n<\/tr>\n\n*Small sample size<\/td>\n\u00a0<\/td>\n\u00a0<\/td>\n<\/tr>\n","protected":false},"excerpt":{"rendered":"Maryland Reports 2025 Early Deer Season Results November 10, 2025 Deer hunting opportunities still abound for the rest…\n","protected":false},"author":3,"featured_media":370126,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[27],"tags":[159,67,132,68,837],"class_list":{"0":"post-370125","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-wildlife","8":"tag-science","9":"tag-united-states","10":"tag-unitedstates","11":"tag-us","12":"tag-wildlife"},"share_on_mastodon":{"url":"https:\/\/pubeurope.com\/@us\/115527710579782860","error":""},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/370125","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/comments?post=370125"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/posts\/370125\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media\/370126"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/media?parent=370125"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/categories?post=370125"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/us\/wp-json\/wp\/v2\/tags?post=370125"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}